Module Handbook Industrial Engineering and Management M.Sc. SPO 2015 Winter term 2021/22 Date: 30/09/2021

KIT DEPARTMENT OF ECONOMICS AND MANAGEMENT

KIT – The Research University in the Helmholtz Association www.kit.edu Table Of Contents

Table Of Contents 1. General information ...... 13 1.1. Structural elements ...... 13 1.2. Begin and completion of a module ...... 13 1.3. Module versions ...... 13 1.4. General and partial examinations ...... 13 1.5. Types of exams ...... 13 1.6. Repeating exams ...... 14 1.7. Examiners ...... 14 1.8. Additional accomplishments ...... 14 1.9. Further information ...... 14 1.10. Contact ...... 14 2. Study plan...... 15 3. Qualification objectives of the Master's program in Industrial Engineering and Management ...... 16 4. Key Skills...... 17 5. Field of study structure...... 18 5.1. Master Thesis ...... 18 5.2. Business Administration ...... 19 5.3. Economics ...... 20 5.4. Informatics ...... 20 5.5. Operations Research ...... 20 5.6. Engineering Sciences ...... 21 5.7. Compulsory Elective Modules ...... 24 6. Modules ...... 28 6.1. Advanced Machine Learning and Data Science - M-WIWI-105659 ...... 28 6.2. Advanced Module Logistics - M-MACH-104888 ...... 29 6.3. Advanced Topics in Public Finance - M-WIWI-101511 ...... 30 6.4. Advanced Topics in Strategy and Management - M-WIWI-103119 ...... 31 6.5. Agglomeration and Innovation - M-WIWI-101497 ...... 32 6.6. Analytics and Statistics - M-WIWI-101637 ...... 33 6.7. Applied Strategic Decisions - M-WIWI-101453 ...... 34 6.8. Automated Manufacturing Systems - M-MACH-101298 ...... 35 6.9. Automotive Engineering - M-MACH-101266 ...... 36 6.10. BioMEMS - M-MACH-101290 ...... 37 6.11. Business & Service Engineering - M-WIWI-101410 ...... 38 6.12. Collective Decision Making - M-WIWI-101504 ...... 39 6.13. Combustion Engines I - M-MACH-101275 ...... 40 6.14. Combustion Engines II - M-MACH-101303 ...... 41 6.15. Commercial Law - M-INFO-101191 ...... 42 6.16. Consumer Research - M-WIWI-105714 ...... 43 6.17. Control Engineering II - M-ETIT-101157 ...... 44 6.18. Cross-Functional Management Accounting - M-WIWI-101510 ...... 45 6.19. Data Science: Data-Driven Information Systems - M-WIWI-103117 ...... 46 6.20. Data Science: Data-Driven User Modeling - M-WIWI-103118 ...... 48 6.21. Data Science: Evidence-based Marketing - M-WIWI-101647 ...... 49 6.22. Data Science: Intelligent, Adaptive, and Learning Information Services - M-WIWI-105661 ...... 50 6.23. Design, Construction, Operation and Maintenance of Highways - M-BGU-100998 ...... 51 6.24. Designing Interactive Information Systems - M-WIWI-104080 ...... 52 6.25. Digital Service Systems in Industry - M-WIWI-102808 ...... 53 6.26. Digitalization in Facility Management - M-BGU-105592 ...... 54 6.27. Econometrics and Statistics I - M-WIWI-101638 ...... 56 6.28. Econometrics and Statistics II - M-WIWI-101639 ...... 57 6.29. Economic Theory and its Application in Finance - M-WIWI-101502 ...... 58 6.30. eEnergy: Markets, Services and Systems - M-WIWI-103720 ...... 59 6.31. Electives in Informatics - M-WIWI-101630 ...... 60 6.32. Electronic Markets - M-WIWI-101409 ...... 62 6.33. Emphasis in Informatics - M-WIWI-101628 ...... 64 6.34. Energy and Process Technology I - M-MACH-101296 ...... 66

Industrial Engineering and Management M.Sc. 2 Module Handbook as of 30/09/2021 Table Of Contents

6.35. Energy and Process Technology II - M-MACH-101297 ...... 67 6.36. Energy Economics and Energy Markets - M-WIWI-101451 ...... 68 6.37. Energy Economics and Technology - M-WIWI-101452 ...... 69 6.38. Entrepreneurship (EnTechnon) - M-WIWI-101488 ...... 70 6.39. Environmental Economics - M-WIWI-101468 ...... 72 6.40. Experimental Economics - M-WIWI-101505 ...... 73 6.41. Extracurricular Module in Engineering - M-WIWI-101404 ...... 74 6.42. Facility Management in Hospitals - M-BGU-105597 ...... 75 6.43. Finance 1 - M-WIWI-101482 ...... 77 6.44. Finance 2 - M-WIWI-101483 ...... 78 6.45. Finance 3 - M-WIWI-101480 ...... 80 6.46. Fundamentals of Transportation - M-BGU-101064 ...... 81 6.47. Generation and Transmission of Renewable Power - M-ETIT-101164 ...... 82 6.48. Global Production and Logistics - M-MACH-101282 ...... 83 6.49. Growth and Agglomeration - M-WIWI-101496 ...... 84 6.50. Handling Characteristics of Motor Vehicles - M-MACH-101264 ...... 85 6.51. High-Voltage Technology - M-ETIT-101163 ...... 86 6.52. Highway Engineering - M-BGU-100999 ...... 87 6.53. Industrial Production II - M-WIWI-101471 ...... 88 6.54. Industrial Production III - M-WIWI-101412 ...... 90 6.55. Informatics - M-WIWI-101472 ...... 92 6.56. Information Engineering - M-WIWI-101411 ...... 94 6.57. Information Systems in Organizations - M-WIWI-104068 ...... 95 6.58. Innovation and Growth - M-WIWI-101478 ...... 96 6.59. Innovation Economics - M-WIWI-101514 ...... 97 6.60. Innovation Management - M-WIWI-101507 ...... 98 6.61. Integrated Production Planning - M-MACH-101272 ...... 100 6.62. Intellectual Property Law - M-INFO-101215 ...... 101 6.63. Lean Management in Construction - M-BGU-101884 ...... 102 6.64. Logistics and Supply Chain Management - M-MACH-105298 ...... 104 6.65. Machine Tools and Industrial Handling - M-MACH-101286 ...... 105 6.66. Major Field: Integrated Product Development - M-MACH-102626 ...... 106 6.67. Management Accounting - M-WIWI-101498 ...... 107 6.68. Manufacturing Technology - M-MACH-101276 ...... 108 6.69. Market Engineering - M-WIWI-101446 ...... 109 6.70. Marketing and Sales Management - M-WIWI-105312 ...... 111 6.71. Material Flow in Logistic Systems - M-MACH-101277 ...... 112 6.72. Material Flow in Networked Logistic Systems - M-MACH-101278 ...... 113 6.73. Mathematical Programming - M-WIWI-101473 ...... 114 6.74. Microeconomic Theory - M-WIWI-101500 ...... 116 6.75. Microfabrication - M-MACH-101291 ...... 117 6.76. Microoptics - M-MACH-101292 ...... 118 6.77. Microsystem Technology - M-MACH-101287 ...... 119 6.78. Mobile Machines - M-MACH-101267 ...... 120 6.79. Module Master Thesis - M-WIWI-101650 ...... 121 6.80. Nanotechnology - M-MACH-101294 ...... 122 6.81. Natural Hazards and Risk Management - M-WIWI-104837 ...... 123 6.82. Network Economics - M-WIWI-101406 ...... 124 6.83. Operations Research in Supply Chain Management - M-WIWI-102832 ...... 125 6.84. Optoelectronics and Optical Communication - M-MACH-101295 ...... 127 6.85. Principles of Food Process Engineering - M-CIWVT-101120 ...... 128 6.86. Private Business Law - M-INFO-101216 ...... 129 6.87. Process Engineering in Construction - M-BGU-101110 ...... 130 6.88. Project Management in Construction - M-BGU-101888 ...... 131 6.89. Public Business Law - M-INFO-101217 ...... 133 6.90. Rail System Technology - M-MACH-101274 ...... 134 6.91. Safety, Computing and Law in Highway Engineering - M-BGU-101066 ...... 136 6.92. Seminar Module - M-WIWI-101808 ...... 137 6.93. Sensor Technology I - M-ETIT-101158 ...... 139 6.94. Service Analytics - M-WIWI-101506 ...... 140

Industrial Engineering and Management M.Sc. 3 Module Handbook as of 30/09/2021 Table Of Contents

6.95. Service Design Thinking - M-WIWI-101503 ...... 141 6.96. Service Economics and Management - M-WIWI-102754 ...... 143 6.97. Service Innovation, Design & Engineering - M-WIWI-102806 ...... 144 6.98. Service Management - M-WIWI-101448 ...... 145 6.99. Service Operations - M-WIWI-102805 ...... 146 6.100. Sociology - M-GEISTSOZ-101169 ...... 148 6.101. Specialization in Food Process Engineering - M-CIWVT-101119 ...... 149 6.102. Specialization in Production Engineering - M-MACH-101284 ...... 150 6.103. Specific Topics in Materials Science - M-MACH-101268 ...... 151 6.104. Stochastic Optimization - M-WIWI-103289 ...... 153 6.105. Strategic Design of Modern Production Systems - M-MACH-105455 ...... 155 6.106. Student Innovation Lab (SIL) 1 - M-WIWI-105010 ...... 156 6.107. Student Innovation Lab (SIL) 2 - M-WIWI-105011 ...... 159 6.108. Technical Logistics - M-MACH-101279 ...... 162 6.109. Transport Infrastructure Policy and Regional Development - M-WIWI-101485 ...... 163 6.110. Transportation Modelling and Traffic Management - M-BGU-101065 ...... 164 6.111. Urban Water Technologies - M-BGU-104448 ...... 165 6.112. Vehicle Development - M-MACH-101265 ...... 166 6.113. Virtual Engineering A - M-MACH-101283 ...... 167 6.114. Virtual Engineering B - M-MACH-101281 ...... 168 6.115. Water Chemistry and Water Technology I - M-CIWVT-101121 ...... 170 6.116. Water Chemistry and Water Technology II - M-CIWVT-101122 ...... 171 7. Courses...... 172 7.1. Extrusion Technology - T-CIWVT-111435 ...... 172 7.2. A Closer Look at Social Innovation - T-WIWI-109932 ...... 173 7.3. Additives and Active Substances - T-CIWVT-111434 ...... 174 7.4. Advanced Empirical Asset Pricing - T-WIWI-110513 ...... 175 7.5. Advanced Food Processing - T-CIWVT-100152 ...... 176 7.6. Advanced Game Theory - T-WIWI-102861 ...... 177 7.7. Advanced Lab Blockchain Hackathon (Master) - T-WIWI-111126 ...... 178 7.8. Advanced Lab Informatics (Master) - T-WIWI-110548 ...... 179 7.9. Advanced Lab Security - T-WIWI-109786 ...... 185 7.10. Advanced Lab Security, Usability and Society - T-WIWI-108439 ...... 186 7.11. Advanced Lab Sociotechnical Information Systems Development (Master) - T-WIWI-111125 ...... 190 7.12. Advanced Machine Learning - T-WIWI-109921 ...... 191 7.13. Advanced Machine Learning and Data Science - T-WIWI-111305 ...... 193 7.14. Advanced Management Accounting - T-WIWI-102885 ...... 194 7.15. Advanced Management Accounting 2 - T-WIWI-110179 ...... 196 7.16. Advanced Statistics - T-WIWI-103123 ...... 197 7.17. Advanced Stochastic Optimization - T-WIWI-106548 ...... 198 7.18. Advanced Topics in Economic Theory - T-WIWI-102609 ...... 199 7.19. Airport Logistics - T-MACH-105175 ...... 200 7.20. Analysis of Exhaust Gas and Lubricating Oil in Combustion Engines - T-MACH-105173 ...... 202 7.21. Analysis Tools for Combustion Diagnostics - T-MACH-105167 ...... 203 7.22. Analyzing and Evaluating Innovation Processes - T-WIWI-108774 ...... 204 7.23. Application of Social Science Methods (WiWi) - T-GEISTSOZ-109052 ...... 205 7.24. Applied Econometrics - T-WIWI-111388 ...... 206 7.25. Applied Informatics – Principles of Internet Computing: Foundations for Emerging Technologies and Future 207. Services - T-WIWI-110339 7.26. Artificial Intelligence in Service Systems - T-WIWI-108715 ...... 209 7.27. Artificial Intelligence in Service Systems - Applications in Computer Vision - T-WIWI-111219 ...... 211 7.28. Asset Pricing - T-WIWI-102647 ...... 213 7.29. Auction Theory - T-WIWI-102613 ...... 214 7.30. Automated Manufacturing Systems - T-MACH-102162 ...... 215 7.31. Automotive Engineering I - T-MACH-102203 ...... 217 7.32. Automotive Engineering I - T-MACH-100092 ...... 219 7.33. Automotive Engineering II - T-MACH-102117 ...... 221 7.34. Basics of German Company Tax Law and Tax Planning - T-WIWI-108711 ...... 223 7.35. Basics of Mobile Working Machines - T-MACH-110959 ...... 224 7.36. Basics of Technical Logistics I - T-MACH-109919 ...... 225

Industrial Engineering and Management M.Sc. 4 Module Handbook as of 30/09/2021 Table Of Contents

7.37. Basics of Technical Logistics II - T-MACH-109920 ...... 227 7.38. Behavioral Experiments in Action - T-WIWI-111393 ...... 228 7.39. BioMEMS - Microsystems Technologies for Life-Sciences and Medicine I - T-MACH-100966 ...... 229 7.40. BioMEMS - Microsystems Technologies for Life-Sciences and Medicine II - T-MACH-100967 ...... 230 7.41. BioMEMS - Microsystems Technologies for Life-Sciences and Medicine III - T-MACH-100968 ...... 232 7.42. Bionics for Engineers and Natural Scientists - T-MACH-102172 ...... 233 7.43. Blockchains & Cryptofinance - T-WIWI-108880 ...... 234 7.44. Bond Markets - T-WIWI-110995 ...... 235 7.45. Bond Markets - Models & Derivatives - T-WIWI-110997 ...... 236 7.46. Bond Markets - Tools & Applications - T-WIWI-110996 ...... 237 7.47. Boosting of Combustion Engines - T-MACH-105649 ...... 238 7.48. Building Laws - T-BGU-103429 ...... 239 7.49. BUS-Controls - T-MACH-102150 ...... 240 7.50. BUS-Controls - Advance - T-MACH-108889 ...... 242 7.51. Business Data Analytics: Application and Tools - T-WIWI-109863 ...... 243 7.52. Business Data Strategy - T-WIWI-106187 ...... 244 7.53. Business Dynamics - T-WIWI-102762 ...... 245 7.54. Business Intelligence Systems - T-WIWI-105777 ...... 246 7.55. Business Models in the Internet: Planning and Implementation - T-WIWI-102639 ...... 248 7.56. Business Planning - T-WIWI-102865 ...... 249 7.57. Business Process Modelling - T-WIWI-102697 ...... 251 7.58. Business Strategies of Banks - T-WIWI-102626 ...... 253 7.59. Case Studies Seminar: Innovation Management - T-WIWI-102852 ...... 254 7.60. CATIA Advanced - T-MACH-105312 ...... 255 7.61. CATIA CAD Training Course - T-MACH-102185 ...... 257 7.62. Ceramic Processing Technology - T-MACH-102182 ...... 259 7.63. Challenges in Supply Chain Management - T-WIWI-102872 ...... 260 7.64. Characteristics of Transportation Systems - T-BGU-106609 ...... 261 7.65. CO2-Neutral Combustion Engines and their Fuels I - T-MACH-111550 ...... 262 7.66. Cognitive Modeling - T-WIWI-111392 ...... 263 7.67. Combustion Engines II - T-MACH-104609 ...... 264 7.68. Communication Systems and Protocols - T-ETIT-101938 ...... 265 7.69. Competition in Networks - T-WIWI-100005 ...... 266 7.70. Computational Economics - T-WIWI-102680 ...... 267 7.71. Computer Aided Data Analysis - T-GEISTSOZ-104565 ...... 269 7.72. Computer Contract Law - T-INFO-102036 ...... 270 7.73. Constitution and Properties of Protective Coatings - T-MACH-105150 ...... 271 7.74. Constitution and Properties of Wearresistant Materials - T-MACH-102141 ...... 273 7.75. Construction Equipment - T-BGU-101845 ...... 275 7.76. Control of Linear Multivariable Systems - T-ETIT-100666 ...... 276 7.77. Control Technology - T-MACH-105185 ...... 277 7.78. Convex Analysis - T-WIWI-102856 ...... 279 7.79. Conveying Technology and Logistics - T-MACH-102135 ...... 281 7.80. Copyright - T-INFO-101308 ...... 282 7.81. Corporate Compliance - T-INFO-101288 ...... 283 7.82. Corporate Financial Policy - T-WIWI-102622 ...... 284 7.83. Corporate Risk Management - T-WIWI-109050 ...... 285 7.84. Credit Risk - T-WIWI-102645 ...... 286 7.85. Critical Information Infrastructures - T-WIWI-109248 ...... 287 7.86. Current Directions in Consumer Psychology - T-WIWI-111100 ...... 289 7.87. Current Issues in Innovation Management - T-WIWI-102873 ...... 290 7.88. Current Topics on BioMEMS - T-MACH-102176 ...... 291 7.89. Data Protection Law - T-INFO-111406 ...... 292 7.90. Database Systems and XML - T-WIWI-102661 ...... 293 7.91. Decentrally Controlled Intralogistic Systems - T-MACH-105230 ...... 295 7.92. Demand-Driven Supply Chain Planning - T-WIWI-110971 ...... 298 7.93. Derivatives - T-WIWI-102643 ...... 299 7.94. Design Basics in Highway Engineering - T-BGU-106613 ...... 300 7.95. Design Thinking - T-WIWI-102866 ...... 301 7.96. Designing Interactive Systems - T-WIWI-110851 ...... 302

Industrial Engineering and Management M.Sc. 5 Module Handbook as of 30/09/2021 Table Of Contents

7.97. Development of hybrid drivetrains - T-MACH-110817 ...... 304 7.98. Digital Health - T-WIWI-109246 ...... 305 7.99. Digital Marketing and Sales in B2B - T-WIWI-106981 ...... 307 7.100. Digital Services: Business Models and Transformation - T-WIWI-110280 ...... 309 7.101. Digital Transformation and Business Models - T-WIWI-108875 ...... 311 7.102. Digitalization from Production to the Customer in the Optical Industry - T-MACH-110176 ...... 312 7.103. Digitalization in Facility and Real Estate Management - T-BGU-108941 ...... 314 7.104. Digitalization of Products, Services & Production - T-MACH-108491 ...... 315 7.105. Disassembly Process Engineering - T-BGU-101850 ...... 317 7.106. Discrete-Event Simulation in Production and Logistics - T-WIWI-102718 ...... 318 7.107. Drying of Dispersions - T-CIWVT-111433 ...... 319 7.108. Dynamic Macroeconomics - T-WIWI-109194 ...... 320 7.109. Efficient Energy Systems and Electric Mobility - T-WIWI-102793 ...... 321 7.110. eFinance: Information Systems for Securities Trading - T-WIWI-110797 ...... 322 7.111. Electronics and EMC - T-ETIT-100723 ...... 323 7.112. Elements and Systems of Technical Logistics - T-MACH-102159 ...... 324 7.113. Elements and Systems of Technical Logistics - Project - T-MACH-108946 ...... 325 7.114. Emerging Trends in Digital Health - T-WIWI-110144 ...... 326 7.115. Emerging Trends in Internet Technologies - T-WIWI-110143 ...... 327 7.116. Emissions into the Environment - T-WIWI-102634 ...... 328 7.117. Employment Law - T-INFO-111436 ...... 329 7.118. Energetic Refurbishment - T-BGU-111211 ...... 330 7.119. Energy and Environment - T-WIWI-102650 ...... 331 7.120. Energy and Process Technology I - T-MACH-102211 ...... 332 7.121. Energy and Process Technology II - T-MACH-102212 ...... 333 7.122. Energy Conversion and Increased Efficiency in Internal Combustion Engines - T-MACH-105564 ...... 334 7.123. Energy Efficient Intralogistic Systems - T-MACH-105151 ...... 335 7.124. Energy Market Engineering - T-WIWI-107501 ...... 336 7.125. Energy Networks and Regulation - T-WIWI-107503 ...... 337 7.126. Energy Systems Analysis - T-WIWI-102830 ...... 339 7.127. Energy Trade and Risk Management - T-WIWI-102691 ...... 341 7.128. Engine Measurement Techniques - T-MACH-105169 ...... 343 7.129. Engineering Hydrology - T-BGU-108943 ...... 344 7.130. Engineering Interactive Systems - T-WIWI-110877 ...... 345 7.131. Entrepreneurial Leadership & Innovation Management - T-WIWI-102833 ...... 346 7.132. Entrepreneurship - T-WIWI-102864 ...... 347 7.133. Entrepreneurship Research - T-WIWI-102894 ...... 348 7.134. Environmental and Resource Policy - T-WIWI-102616 ...... 349 7.135. Environmental Communication - T-BGU-101676 ...... 350 7.136. Environmental Economics and Sustainability - T-WIWI-102615 ...... 351 7.137. Environmental Law - T-BGU-111102 ...... 352 7.138. European and International Law - T-INFO-101312 ...... 353 7.139. Examination Prerequisite Environmental Communication - T-BGU-106620 ...... 354 7.140. Excursions: Membrane Technologies - T-CIWVT-110864 ...... 355 7.141. Exercises in Civil Law - T-INFO-102013 ...... 356 7.142. Experimental Design - T-WIWI-111395 ...... 357 7.143. Experimental Economics - T-WIWI-102614 ...... 358 7.144. Experimental Lab Class in Welding Technology, in Groups - T-MACH-102099 ...... 359 7.145. Extraordinary additional course in the module Cross-Functional Management Accounting - T-WIWI-108651 ...... 360 7.146. Fabrication Processes in Microsystem Technology - T-MACH-102166 ...... 361 7.147. Facility and Real Estate Management II - T-BGU-111212 ...... 363 7.148. Facility Management in Hospitals - T-BGU-108004 ...... 364 7.149. Failure of Structural Materials: Deformation and Fracture - T-MACH-102140 ...... 365 7.150. Failure of Structural Materials: Fatigue and Creep - T-MACH-102139 ...... 367 7.151. Financial Analysis - T-WIWI-102900 ...... 369 7.152. Financial Econometrics - T-WIWI-103064 ...... 370 7.153. Financial Econometrics II - T-WIWI-110939 ...... 371 7.154. Financial Intermediation - T-WIWI-102623 ...... 372 7.155. Firm creation in IT security - T-WIWI-110374 ...... 373 7.156. Fixed Income Securities - T-WIWI-102644 ...... 374

Industrial Engineering and Management M.Sc. 6 Module Handbook as of 30/09/2021 Table Of Contents

7.157. Fluid Power Systems - T-MACH-102093 ...... 375 7.158. Food Chemistry Basics - T-CHEMBIO-109442 ...... 376 7.159. Food Science and Functionality - T-CIWVT-111535 ...... 377 7.160. Foundry Technology - T-MACH-105157 ...... 378 7.161. Freight Transport - T-BGU-106611 ...... 380 7.162. Fuels and Lubricants for Combustion Engines - T-MACH-105184 ...... 381 7.163. Functional Ceramics - T-MACH-105179 ...... 382 7.164. Fundamentals for Design of Motor-Vehicle Bodies I - T-MACH-102116 ...... 383 7.165. Fundamentals for Design of Motor-Vehicle Bodies II - T-MACH-102119 ...... 385 7.166. Fundamentals in the Development of Commercial Vehicles - T-MACH-111389 ...... 387 7.167. Fundamentals of Automobile Development I - T-MACH-105162 ...... 389 7.168. Fundamentals of Automobile Development II - T-MACH-105163 ...... 391 7.169. Fundamentals of Catalytic Exhaust Gas Aftertreatment - T-MACH-105044 ...... 393 7.170. Fundamentals of National and International Group Taxation - T-WIWI-111304 ...... 394 7.171. Gear Cutting Technology - T-MACH-102148 ...... 395 7.172. Global Logistics - T-MACH-111003 ...... 397 7.173. Global Optimization I - T-WIWI-102726 ...... 399 7.174. Global Optimization I and II - T-WIWI-103638 ...... 401 7.175. Global Optimization II - T-WIWI-102727 ...... 404 7.176. Global Production - T-MACH-110991 ...... 406 7.177. Graph Theory and Advanced Location Models - T-WIWI-102723 ...... 409 7.178. Großdiesel- und -gasmotoren für Schiffsantriebe - T-MACH-110816 ...... 410 7.179. Growth and Development - T-WIWI-111318 ...... 411 7.180. Handling Characteristics of Motor Vehicles I - T-MACH-105152 ...... 412 7.181. Handling Characteristics of Motor Vehicles II - T-MACH-105153 ...... 413 7.182. Heat Economy - T-WIWI-102695 ...... 414 7.183. High Performance Powder Metallurgy Materials - T-MACH-102157 ...... 415 7.184. High-Voltage Technology - T-ETIT-110266 ...... 416 7.185. High-Voltage Test Technique - T-ETIT-101915 ...... 417 7.186. Human Factors in Security and Privacy - T-WIWI-109270 ...... 418 7.187. Ignition Systems - T-MACH-105985 ...... 420 7.188. Incentives in Organizations - T-WIWI-105781 ...... 421 7.189. Information Engineering - T-MACH-102209 ...... 423 7.190. Information Management for Public Mobility Services - T-BGU-106608 ...... 424 7.191. Information Service Engineering - T-WIWI-106423 ...... 425 7.192. Information Systems and Supply Chain Management - T-MACH-102128 ...... 427 7.193. Infrastructure Management - T-BGU-106300 ...... 428 7.194. Innovation Lab - T-ETIT-110291 ...... 429 7.195. Innovation Management: Concepts, Strategies and Methods - T-WIWI-102893 ...... 430 7.196. Innovation Processes Live - T-WIWI-110234 ...... 431 7.197. Innovation Theory and Policy - T-WIWI-102840 ...... 432 7.198. Integrated Design Project in Water Resources Management - T-BGU-111275 ...... 434 7.199. Integrated Product Development - T-MACH-105401 ...... 435 7.200. Integrated Production Planning in the Age of Industry 4.0 - T-MACH-109054 ...... 439 7.201. Integrative Strategies in Production and Development of High Performance Cars - T-MACH-105188 ...... 441 7.202. Intelligent Agent Architectures - T-WIWI-111267 ...... 443 7.203. Intelligent Agents and Decision Theory - T-WIWI-110915 ...... 444 7.204. International Business Development and Sales - T-WIWI-110985 ...... 447 7.205. International Finance - T-WIWI-102646 ...... 448 7.206. International Management in Engineering and Production - T-WIWI-102882 ...... 449 7.207. Internet Law - T-INFO-101307 ...... 450 7.208. Introduction to Bayesian Statistics for Analyzing Data - T-WIWI-110918 ...... 451 7.209. Introduction to Ceramics - T-MACH-100287 ...... 452 7.210. Introduction to Food Law - T-CHEMBIO-108091 ...... 453 7.211. Introduction to Hydrogeology - T-BGU-101499 ...... 454 7.212. Introduction to Microsystem Technology I - T-MACH-105182 ...... 455 7.213. Introduction to Microsystem Technology II - T-MACH-105183 ...... 456 7.214. Introduction to Sensory Analysis with Practice - T-CIWVT-111534 ...... 457 7.215. Introduction to Stochastic Optimization - T-WIWI-106546 ...... 458 7.216. IoT Platform for Engineering - T-MACH-106743 ...... 459

Industrial Engineering and Management M.Sc. 7 Module Handbook as of 30/09/2021 Table Of Contents

7.217. IT-Based Road Design - T-BGU-101804 ...... 461 7.218. IT-Fundamentals of Logistics - T-MACH-105187 ...... 462 7.219. Joint Entrepreneurship Summer School - T-WIWI-109064 ...... 463 7.220. Judgment and Decision Making - T-WIWI-111099 ...... 464 7.221. KD²Lab Hands-On Research Course: New Ways and Tools in Experimental Economics - T-WIWI-111109 ...... 465 7.222. Knowledge Discovery - T-WIWI-102666 ...... 466 7.223. Laboratory Laser Materials Processing - T-MACH-102154 ...... 468 7.224. Laboratory Production Metrology - T-MACH-108878 ...... 471 7.225. Laboratory Work Water Chemistry - T-CIWVT-103351 ...... 473 7.226. Large-scale Optimization - T-WIWI-106549 ...... 474 7.227. Laser in Automotive Engineering - T-MACH-105164 ...... 475 7.228. Laser Physics - T-ETIT-100741 ...... 477 7.229. Laws concerning Traffic and Roads - T-BGU-106615 ...... 478 7.230. Lean Construction - T-BGU-108000 ...... 479 7.231. Learning Factory “Global Production“ - T-MACH-105783 ...... 480 7.232. Liberalised Power Markets - T-WIWI-107043 ...... 483 7.233. Life Cycle Assessment - T-WIWI-110512 ...... 486 7.234. Logistics and Supply Chain Management - T-MACH-110771 ...... 487 7.235. Long-Distance and Air Traffic - T-BGU-106301 ...... 488 7.236. Machine Learning 1 - Basic Methods - T-WIWI-106340 ...... 489 7.237. Machine Learning 2 – Advanced Methods - T-WIWI-106341 ...... 491 7.238. Machine Tools and High-Precision Manufacturing Systems - T-MACH-110963 ...... 493 7.239. Management Accounting 1 - T-WIWI-102800 ...... 495 7.240. Management Accounting 2 - T-WIWI-102801 ...... 497 7.241. Management of IT-Projects - T-WIWI-102667 ...... 499 7.242. Managing New Technologies - T-WIWI-102612 ...... 501 7.243. Manufacturing Technology - T-MACH-102105 ...... 502 7.244. Market Engineering: Information in Institutions - T-WIWI-102640 ...... 504 7.245. Market Research - T-WIWI-107720 ...... 505 7.246. Marketing Analytics - T-WIWI-103139 ...... 507 7.247. Marketing Strategy Business Game - T-WIWI-102835 ...... 509 7.248. Master Thesis - T-WIWI-103142 ...... 511 7.249. Material Flow in Logistic Systems - T-MACH-102151 ...... 512 7.250. Mathematical Models and Methods for Production Systems - T-MACH-105189 ...... 514 7.251. Mathematics for High Dimensional Statistics - T-WIWI-111247 ...... 516 7.252. Membrane Technologies in Water Treatment - T-CIWVT-110865 ...... 517 7.253. Metal Forming - T-MACH-105177 ...... 518 7.254. Methods and Models in Transportation Planning - T-BGU-101797 ...... 520 7.255. Methods in Economic Dynamics - T-WIWI-102906 ...... 521 7.256. Methods in Innovation Management - T-WIWI-110263 ...... 522 7.257. Microactuators - T-MACH-101910 ...... 523 7.258. Microbiology for Engineers - T-CIWVT-108871 ...... 524 7.259. Mixed Integer Programming I - T-WIWI-102719 ...... 525 7.260. Mixed Integer Programming II - T-WIWI-102720 ...... 527 7.261. Mobility Services and New Forms of Mobility - T-BGU-103425 ...... 528 7.262. Modeling and Analyzing Consumer Behavior with R - T-WIWI-102899 ...... 529 7.263. Modeling and OR-Software: Advanced Topics - T-WIWI-106200 ...... 530 7.264. Morphodynamics - T-BGU-101859 ...... 531 7.265. Multicriteria Optimization - T-WIWI-111587 ...... 532 7.266. Multivariate Statistical Methods - T-WIWI-103124 ...... 533 7.267. Nanotechnology for Engineers and Natural Scientists - T-MACH-105180 ...... 534 7.268. Nanotechnology with Clusterbeams - T-MACH-102080 ...... 535 7.269. Nanotribology and -Mechanics - T-MACH-102167 ...... 536 7.270. Nature-Inspired Optimization Methods - T-WIWI-102679 ...... 539 7.271. Non- and Semiparametrics - T-WIWI-103126 ...... 541 7.272. Nonlinear Control Systems - T-ETIT-100980 ...... 542 7.273. Nonlinear Optimization I - T-WIWI-102724 ...... 543 7.274. Nonlinear Optimization I and II - T-WIWI-103637 ...... 545 7.275. Nonlinear Optimization II - T-WIWI-102725 ...... 547 7.276. Novel Actuators and Sensors - T-MACH-102152 ...... 549

Industrial Engineering and Management M.Sc. 8 Module Handbook as of 30/09/2021 Table Of Contents

7.277. Open Science & Reproducibility - T-WIWI-111394 ...... 550 7.278. Operation Methods for Earthmoving - T-BGU-101801 ...... 551 7.279. Operation Methods for Foundation and Marine Construction - T-BGU-101832 ...... 552 7.280. Operations Research in Health Care Management - T-WIWI-102884 ...... 553 7.281. Operations Research in Supply Chain Management - T-WIWI-102715 ...... 554 7.282. Optical Transmitters and Receivers - T-ETIT-100639 ...... 555 7.283. Optical Waveguides and Fibers - T-ETIT-101945 ...... 556 7.284. Optimization Models and Applications - T-WIWI-110162 ...... 557 7.285. Optimization Under Uncertainty - T-WIWI-106545 ...... 558 7.286. Optoelectronic Components - T-ETIT-101907 ...... 559 7.287. Panel Data - T-WIWI-103127 ...... 560 7.288. Parametric Optimization - T-WIWI-102855 ...... 561 7.289. Personalization and Services - T-WIWI-102848 ...... 562 7.290. PH APL-ING-TL01 - T-WIWI-106291 ...... 563 7.291. PH APL-ING-TL02 - T-WIWI-106292 ...... 564 7.292. PH APL-ING-TL03 - T-WIWI-106293 ...... 565 7.293. PH APL-ING-TL04 ub - T-WIWI-106294 ...... 566 7.294. PH APL-ING-TL05 ub - T-WIWI-106295 ...... 567 7.295. PH APL-ING-TL06 ub - T-WIWI-106296 ...... 568 7.296. PH APL-ING-TL07 - T-WIWI-108384 ...... 569 7.297. Physical Basics of Laser Technology - T-MACH-102102 ...... 570 7.298. Physics for Engineers - T-MACH-100530 ...... 572 7.299. Planning and Management of Industrial Plants - T-WIWI-102631 ...... 574 7.300. PLM for Product Development in Mechatronics - T-MACH-102181 ...... 575 7.301. Plug-and-Play Material Handling - T-MACH-106693 ...... 576 7.302. Polymer Engineering I - T-MACH-102137 ...... 577 7.303. Polymer Engineering II - T-MACH-102138 ...... 579 7.304. Polymers in MEMS A: Chemistry, Synthesis and Applications - T-MACH-102192 ...... 581 7.305. Polymers in MEMS B: Physics, Microstructuring and Applications - T-MACH-102191 ...... 582 7.306. Polymers in MEMS C: Biopolymers and Bioplastics - T-MACH-102200 ...... 583 7.307. Portfolio and Asset Liability Management - T-WIWI-103128 ...... 585 7.308. Power Transmission and Power Network Control - T-ETIT-101941 ...... 586 7.309. Practical Course Polymers in MEMS - T-MACH-105556 ...... 587 7.310. Practical Course Technical Ceramics - T-MACH-105178 ...... 588 7.311. Practical Seminar Digital Service Systems - T-WIWI-106563 ...... 589 7.312. Practical Seminar: Advanced Analytics - T-WIWI-108765 ...... 590 7.313. Practical Seminar: Data-Driven Information Systems - T-WIWI-106207 ...... 591 7.314. Practical Seminar: Health Care Management (with Case Studies) - T-WIWI-102716 ...... 592 7.315. Practical Seminar: Information Systems and Service Design - T-WIWI-108437 ...... 593 7.316. Practical Seminar: Service Innovation - T-WIWI-110887 ...... 594 7.317. Practical Training in Basics of Microsystem Technology - T-MACH-102164 ...... 595 7.318. Predictive Mechanism and Market Design - T-WIWI-102862 ...... 597 7.319. Predictive Modeling - T-WIWI-110868 ...... 598 7.320. Price Management - T-WIWI-105946 ...... 599 7.321. Price Negotiation and Sales Presentations - T-WIWI-102891 ...... 600 7.322. Pricing Excellence - T-WIWI-111246 ...... 601 7.323. Principles of Ceramic and Powder Metallurgy Processing - T-MACH-102111 ...... 602 7.324. Probabilistic Time Series Forecasting Challenge - T-WIWI-111387 ...... 603 7.325. Process Engineering - T-BGU-101844 ...... 604 7.326. Process Engineering: Example Food Processing - T-CIWVT-111536 ...... 605 7.327. Process Mining - T-WIWI-109799 ...... 606 7.328. Product and Innovation Management - T-WIWI-109864 ...... 608 7.329. Product- and Production-Concepts for Modern Automobiles - T-MACH-110318 ...... 610 7.330. Production and Logistics Management - T-WIWI-102632 ...... 612 7.331. Production Technology for E-Mobility - T-MACH-110984 ...... 613 7.332. Project Development with Case Study - T-BGU-111217 ...... 614 7.333. Project Internship Aditive Manufacturing: Development and Production of an Additive Component - T- 615. MACH-110960 7.334. Project Lab Cognitive Automobiles and Robots - T-WIWI-109985 ...... 617 7.335. Project Lab Machine Learning - T-WIWI-109983 ...... 619

Industrial Engineering and Management M.Sc. 9 Module Handbook as of 30/09/2021 Table Of Contents

7.336. Project Management - T-WIWI-103134 ...... 621 7.337. Project Management in Construction and Real Estate Industry I - T-BGU-103432 ...... 622 7.338. Project Management in Construction and Real Estate Industry II - T-BGU-103433 ...... 623 7.339. Project Paper Lean Construction - T-BGU-101007 ...... 624 7.340. Project Studies - T-BGU-101847 ...... 625 7.341. Project Workshop: Automotive Engineering - T-MACH-102156 ...... 626 7.342. Public Management - T-WIWI-102740 ...... 628 7.343. Public Revenues - T-WIWI-102739 ...... 629 7.344. Python Algorithm for Vehicle Technology - T-MACH-110796 ...... 630 7.345. Quality Management - T-MACH-102107 ...... 632 7.346. Quantitative Methods in Energy Economics - T-WIWI-107446 ...... 634 7.347. Quantum Functional Devices and Semiconductor Technology - T-ETIT-100740 ...... 635 7.348. Rail System Technology - T-MACH-102143 ...... 636 7.349. Recommender Systems - T-WIWI-102847 ...... 638 7.350. Regulation Theory and Practice - T-WIWI-102712 ...... 644 7.351. Responsible Artificial Intelligence - T-WIWI-111385 ...... 645 7.352. Risk Management in Industrial Supply Networks - T-WIWI-102826 ...... 646 7.353. Roadmapping - T-WIWI-102853 ...... 647 7.354. Safety Engineering - T-MACH-105171 ...... 648 7.355. Safety Management in Highway Engineering - T-BGU-101674 ...... 649 7.356. Selected Applications of Technical Logistics - T-MACH-102160 ...... 650 7.357. Selected Applications of Technical Logistics - Project - T-MACH-108945 ...... 651 7.358. Selected Issues in Critical Information Infrastructures - T-WIWI-109251 ...... 652 7.359. Selected Legal Issues of Internet Law - T-INFO-108462 ...... 653 7.360. Selected Topics on Optics and Microoptics for Mechanical Engineers - T-MACH-102165 ...... 654 7.361. Self-Booking-HOC-SPZ-ZAK-Graded - T-WIWI-111439 ...... 655 7.362. Self-Booking-HOC-SPZ-ZAK-Graded - T-WIWI-111438 ...... 656 7.363. Self-Booking-HOC-SPZ-ZAK-Graded - T-WIWI-111440 ...... 657 7.364. Self-Booking-HOC-SPZ-ZAK-Ungraded - T-WIWI-111442 ...... 658 7.365. Self-Booking-HOC-SPZ-ZAK-Ungraded - T-WIWI-111441 ...... 659 7.366. Self-Booking-HOC-SPZ-ZAK-Ungraded - T-WIWI-111443 ...... 660 7.367. Semantic Web Technologies - T-WIWI-110848 ...... 661 7.368. Seminar Data-Mining in Production - T-MACH-108737 ...... 664 7.369. Seminar in Business Administration A (Master) - T-WIWI-103474 ...... 667 7.370. Seminar in Business Administration B (Master) - T-WIWI-103476 ...... 679 7.371. Seminar in Economic Policy - T-WIWI-102789 ...... 690 7.372. Seminar in Economics A (Master) - T-WIWI-103478 ...... 691 7.373. Seminar in Economics B (Master) - T-WIWI-103477 ...... 694 7.374. Seminar in Engineering Science Master (approval) - T-WIWI-108763 ...... 697 7.375. Seminar in Informatics A (Master) - T-WIWI-103479 ...... 699 7.376. Seminar in Informatics B (Master) - T-WIWI-103480 ...... 705 7.377. Seminar in Operations Research A (Master) - T-WIWI-103481 ...... 711 7.378. Seminar in Operations Research B (Master) - T-WIWI-103482 ...... 714 7.379. Seminar in Statistics A (Master) - T-WIWI-103483 ...... 717 7.380. Seminar in Statistics B (Master) - T-WIWI-103484 ...... 718 7.381. Seminar in Transportation - T-BGU-100014 ...... 719 7.382. Seminar Methods along the Innovation process - T-WIWI-110987 ...... 720 7.383. Seminar Mobility Services (Master) - T-WIWI-103174 ...... 721 7.384. Seminar Production Technology - T-MACH-109062 ...... 722 7.385. Seminar Sensors - T-ETIT-100707 ...... 724 7.386. Seminar: Commercial and Corporate Law in the IT Industry - T-INFO-111405 ...... 725 7.387. Seminar: IT- Security Law - T-INFO-111404 ...... 726 7.388. Seminar: Legal Studies I - T-INFO-101997 ...... 727 7.389. Seminar: Legal Studies II - T-INFO-105945 ...... 728 7.390. Seminar: Patent Law - T-INFO-111403 ...... 730 7.391. Sensors - T-ETIT-101911 ...... 731 7.392. Service Design Thinking - T-WIWI-102849 ...... 732 7.393. Service Innovation - T-WIWI-102641 ...... 733 7.394. SIL Entrepreneurship Emphasis - T-WIWI-110287 ...... 735 7.395. SIL Entrepreneurship Project - T-WIWI-110166 ...... 736

Industrial Engineering and Management M.Sc. 10 Module Handbook as of 30/09/2021 Table Of Contents

7.396. Simulation Game in Energy Economics - T-WIWI-108016 ...... 737 7.397. Simulation of Coupled Systems - T-MACH-105172 ...... 738 7.398. Simulation of Coupled Systems - Advance - T-MACH-108888 ...... 740 7.399. Site Management - T-BGU-103427 ...... 741 7.400. Smart Energy Infrastructure - T-WIWI-107464 ...... 742 7.401. Smart Grid Applications - T-WIWI-107504 ...... 743 7.402. Social Choice Theory - T-WIWI-102859 ...... 744 7.403. Sociotechnical Information Systems Development - T-WIWI-109249 ...... 745 7.404. Software Quality Management - T-WIWI-102895 ...... 746 7.405. Spatial Economics - T-WIWI-103107 ...... 748 7.406. Special Topics in Highway Engineering and Environmental Impact Assessment - T-BGU-101860 ...... 750 7.407. Special Topics in Information Systems - T-WIWI-109940 ...... 751 7.408. Startup Experience - T-WIWI-111561 ...... 752 7.409. Statistical Modeling of Generalized Regression Models - T-WIWI-103065 ...... 754 7.410. Stochastic Calculus and Finance - T-WIWI-103129 ...... 755 7.411. Strategic Finance and Technoloy Change - T-WIWI-110511 ...... 756 7.412. Strategic Foresight China - T-WIWI-110986 ...... 757 7.413. Strategic Transport Planning - T-BGU-103426 ...... 758 7.414. Strategy and Management Theory: Developments and “Classics” - T-WIWI-106190 ...... 759 7.415. Structural and Phase Analysis - T-MACH-102170 ...... 762 7.416. Structural Ceramics - T-MACH-102179 ...... 763 7.417. Superhard Thin Film Materials - T-MACH-102103 ...... 764 7.418. Supplement Enterprise Information Systems - T-WIWI-110346 ...... 766 7.419. Supplement Software- and Systemsengineering - T-WIWI-110372 ...... 767 7.420. Supplementary Claim Management - T-BGU-103428 ...... 768 7.421. Supply Chain Management in the Automotive Industry - T-WIWI-102828 ...... 769 7.422. Supply Chain Management with Advanced Planning Systems - T-WIWI-102763 ...... 770 7.423. Sustainability in Mobility Systems - T-BGU-111057 ...... 772 7.424. Systematic Materials Selection - T-MACH-100531 ...... 773 7.425. Tax Law - T-INFO-111437 ...... 775 7.426. Technologies for Innovation Management - T-WIWI-102854 ...... 776 7.427. Technology Assessment - T-WIWI-102858 ...... 777 7.428. Telecommunication and Internet Economics - T-WIWI-102713 ...... 778 7.429. Telecommunications Law - T-INFO-101309 ...... 779 7.430. Tendering, Planning and Financing in Public Transport - T-BGU-101005 ...... 780 7.431. The negotiation of open innovation - T-WIWI-110867 ...... 781 7.432. Tires and Wheel Development for Passenger Cars - T-MACH-102207 ...... 782 7.433. Topics in Experimental Economics - T-WIWI-102863 ...... 783 7.434. Trademark and Unfair Competition Law - T-INFO-101313 ...... 784 7.435. Traffic Engineering - T-BGU-101798 ...... 785 7.436. Traffic Flow Simulation - T-BGU-101800 ...... 786 7.437. Traffic Management and Transport Telematics - T-BGU-101799 ...... 787 7.438. Transport Economics - T-WIWI-100007 ...... 788 7.439. Transportation Data Analysis - T-BGU-100010 ...... 789 7.440. Transportation Systems - T-BGU-106610 ...... 790 7.441. Tunnel Construction and Blasting Engineering - T-BGU-101846 ...... 791 7.442. Turnkey Construction I - T-BGU-111313 ...... 792 7.443. Turnkey Construction II - T-BGU-111210 ...... 793 7.444. Tutorial Global Production - T-MACH-110981 ...... 794 7.445. Upgrading of Existing Buildings - T-BGU-111218 ...... 796 7.446. Urban Water Infrastructure and Management - T-BGU-106600 ...... 797 7.447. Valuation - T-WIWI-102621 ...... 798 7.448. Vehicle Comfort and Acoustics I - T-MACH-105154 ...... 799 7.449. Vehicle Comfort and Acoustics II - T-MACH-105155 ...... 801 7.450. Vehicle Mechatronics I - T-MACH-105156 ...... 804 7.451. Virtual Engineering I - T-MACH-102123 ...... 805 7.452. Virtual Engineering II - T-MACH-102124 ...... 807 7.453. Virtual Engineering Lab - T-MACH-106740 ...... 808 7.454. Virtual Solution Methods and Processes - T-MACH-111285 ...... 809 7.455. Virtual Training Factory 4.X - T-MACH-106741 ...... 811

Industrial Engineering and Management M.Sc. 11 Module Handbook as of 30/09/2021 Table Of Contents

7.456. Warehousing and Distribution Systems - T-MACH-105174 ...... 812 7.457. Wastewater Treatment Technologies for Industrial Engineers - T-BGU-111299 ...... 813 7.458. Water Chemistry and Water Technology I - T-CIWVT-101900 ...... 814 7.459. Water Quality Assessment - T-CIWVT-108841 ...... 815 7.460. Web App Programming for Finance - T-WIWI-110933 ...... 816 7.461. Web Science - T-WIWI-103112 ...... 817 7.462. Welding Technology - T-MACH-105170 ...... 818 7.463. Wildcard Seminar Module Master - T-WIWI-110215 ...... 820 7.464. Workshop Business Wargaming – Analyzing Strategic Interactions - T-WIWI-106189 ...... 821 7.465. Workshop Current Topics in Strategy and Management - T-WIWI-106188 ...... 823 7.466. X-ray Optics - T-MACH-109122 ...... 824

Industrial Engineering and Management M.Sc. 12 Module Handbook as of 30/09/2021 1 GENERAL INFORMATION

1 General information Welcome to the new module handbook of your study program! We are delighted that you have decided to study at the KIT Department of Economics and Management and wish you a good start into the new semester! In the following we would like to give you a short introduction to the most important terms and rules that are important in connection with the choice of modules, courses and examinations.

1.1 Structural elements The program exists of several subjects (e.g. business administration, economics, operations research). Every subject is split into modules and every module itself consists of one or more interrelated module component exams. The extent of every module is indicated by credit points (CP), which will be credited after the successful completion of the module. Some of the modules are obligatory. According to the interdisciplinary character of the program, a great variety of individual specialization and deepening possibilities exists for a large number of modules. This enables the student to customize content and time schedule of the program according to personal needs, interest and job perspective. The module handbook describes the modules belonging to the program. It describes particularly:

• the structure of the modules • the extent (in CP), • the dependencies of the modules, • the learning outcomes, • the assessment and examinations.

The module handbook serves as a necessary orientation and as a helpful guide throughout the studies. The module handbook does not replace the course catalog, which provides important information concerning each semester and variable course details (e.g. time and location of the course).

1.2 Begin and completion of a module Each module and each examination can only be selected once. The decision on the assignment of an examination to a module (if, for example, an examination in several modules is selectable) is made by the student at the moment when he / she is registered for the appropriate examination. A module is completed or passed when the module examination is passed (grade 4.0 or better). For modules in which the module examination is carried out over several partial examinations, the following applies: The module is completed when all necessary module partial examinations have been passed. In the case of modules which offer alternative partial examinations, the module examination is concluded with the examination with which the required total credit points are reached or exceeded. The module grade, however, is combined with the weight of the predefined credit points for the module in the overall grade calculation.

1.3 Module versions It is not uncommon for modules to be revised due to, for example, new courses or cancelled examinations. As a rule, a new module version is created, which applies to all students who are new to the module. On the other hand, students who have already started the module enjoy confidence and remain in the old module version. These students can complete the module on the same conditions as at the beginning of the module (exceptions are regulated by the examination committee). The date of the student's "`binding declaration"' on the choice of the module in the sense of §5(2) of the Study and Examination Regulation is decisive. This binding declaration is made by registering for the first examination in this module. In the module handbook, all modules are presented in their current version. The version number is given in the module description. Older module versions can be accessed via the previous module handbooks in the archive at http://www.wiwi.kit.edu/ Archiv_MHB.php.

1.4 General and partial examinations Module examinations can be either taken in a general examination or in partial examinations. If the module examination is offered as a general examination, the entire learning content of the module will be examined in a single examamination. If the module examination is subdivided into partial examinations, the content of each course will be examined in corresponding partial examinations. Registration for examinations can be done online at the campus management portal. The following functions can be accessed on https://campus.studium.kit.edu/:

• Register/unregister for examinations • Check for examination results • Create transcript of records

For further and more detailed information, https://studium.kit.edu/Seiten/FAQ.aspx.

1.5 Types of exams Exams are split into written exams, oral exams and alternative exam assessments. Exams are always graded. Non exam assessments can be repeated several times and are not graded.

Industrial Engineering and Management M.Sc. 13 Module Handbook as of 30/09/2021 1 GENERAL INFORMATION Repeating exams

Caution: exam type dependent on further pandemic developments Due to the current situation, online formats are also available for examinations that are typically offered as presence examinations, depending on the circumstances. All assessments that are announced in the modules as a written exam (written exam/sP according to SPO § 4 Abs. 2, Pkt. 1) can therefore also be offered as an alternative exam assessment/PLaA (according to SPO § 4 Abs. 2, Pkt. 3) depending on further pandemic developments. And vice versa. As alternative examination formats, a) online examinations with video supervision (sP) and optionally a face-to-face examination in the same examination period are offered. Or b) the Online Open Book exam (PLaA) format. This option applies to all modules and assessments listed in the module handbook, regardless of whether or not corresponding references are already made to them there. It is also at the discretion of the responsible examiners whether they allow a 'free shot' for their examination when determining the type of examination.

1.6 Repeating exams Principally, a failed written exam, oral exam or alternative exam assessment can repeated only once. If the repeat examination (including an eventually provided verbal repeat examination) will be failed as well, the examination claim is lost. A request for a second repetition has to be made in written form to the examination committee two months after loosing the examination claim. A counseling interview is mandatory. For further information see http://www.wiwi.kit.edu/hinweiseZweitwdh.php.

1.7 Examiners The examination committee has appointed the KIT examiners and lecturers listed in the module handbook for the modules and their courses as examiners for the courses they offer.

1.8 Additional accomplishments Additional accomplishments are voluntarily taken exams, which have no impact on the overall grade of the student and can take place on the level of single courses or on entire modules. It is also mandatory to declare an additional accomplishment as such at the time of registration for an exam. Additional accomplishments with at most 30 CP may appear additionally in the certificate.

1.9 Further information For current information about studying at the KIT Department of Economics and Management, please visit our website www.wiwi.kit.edu as well as Instagram, LinkedIn, and YouTube. Please also see current notices and announcements for students at: https://www.wiwi.kit.edu/studium.php. Information around the legal and official framework of the study program can be found in the respective study and examination regulations of your study program. These are available under the Official Announcements of KIT (http://www.sle.kit.edu/ amtlicheBekanntmachungen.php). More detailed information about the legal and general conditions of the program can be found in the examination regulation of the program (http://www.sle.kit.edu/amtlicheBekanntmachungen.php).

1.10 Contact If you have any questions about modules or exams, please contact the examination office of the KIT Department of Economics and Management:

Ralf Hilser Anabela Relvas Telefon +49 721 608-43768 E-Mail: [email protected]

Editorial responsibility:

Dr. André Wiesner Telefon: +49 721 608-44061 Email: [email protected] \

Industrial Engineering and Management M.Sc. 14 Module Handbook as of 30/09/2021 2 STUDY PLAN

2 Study plan The Master’s degree program in Industrial Engineering and Management (M.Sc.) has 4 terms and consists of 120 credits (CP) including Master's thesis. The master programme further deepens or complements the scientific qualifications acquired in the bachelor programme. The students should be made capable of independently applying scientific knowledge and methods and evaluate their implications and scope concerning solutions of complex scientific and social problems. Furthermore, the student has to attend two seminars with a minimum of six CP within the seminar module. In addition to the key skills gained in the seminars (3 CP), the student has to acquire additional key skills totalling at least 3 credits.

Figure 2: Structure of the Master Programme SPO2015 (Recommendation)

Figure 2 shows the structure of the subjects and the credits allocated to the subjects. The student has to choose two elective modules of the following disciplines: Business science, economics, informatics, operations research, engineering science, statistics, law and sociology. In principle, both elective modules are also available in one discipline. Thereby it is it is only allowed to choose either one module in law or in sociology. It is left to the student's individual curriculum (taking into account the examination and module regulations), in which terms the chosen modules will be started and completed. However, it is highly recommended to complete all courses and seminars before beginning the Master's thesis.

Industrial Engineering and Management M.Sc. 15 Module Handbook as of 30/09/2021 3 QUALIFICATION OBJECTIVES OF THE MASTER'S PROGRAM IN INDUSTRIAL ENGINEERING AND MANAGEMENT

3 Qualification objectives of the Master's program in Industrial Engineering and Management Graduates of the interdisciplinary Master's program in Industrial Engineering have advanced and in-depth knowledge in business administration, economics, computer science, operations research and engineering. This mainly has its focus on business administration and engineering. The areas of specialization depend on individual interests. Additional knowledge in statistics, law or sociology is also offered depending on one's interests. They have generalized or specialized expertise in the different disciplines. The graduates are in a position to define, describe and interpret the specifics, limits, terminologies and doctrines in these subjects, reproduce the current state of research and selectively use this as a basis for further development. Their extensive know-how enables them to think across the various disciplines and approach issues from different angles. They are able to select and combine appropriate courses of action for research-related topics. They can then transfer and apply these to specific problems. They can separately analyze extensive problems such as information and current challenges and review, compare and evaluate these using appropriate methods and concepts. They evaluate the complexity and risks, identify improvement potentials and choose sustainable solution processes and improvement methods. This puts them in a position where they are able to make responsible and science-based decisions. They are able to come up with innovative ideas and apply them accordingly. They can oversee these approaches either independently or in teams. They are able to explain and discuss their decisions. They can independently interpret, validate and illustrate the obtained results. The interdisciplinary use of knowledge also takes account of social, scientific and ethical insights. The graduates can communicate with expert representatives on a scientific level and assume prominent responsibility in a team. Karlsruhe's industrial engineers are characterized by their interdisciplinary thinking as well as their innovation and management capability. They are particularly qualified for industrial occupations, service sector or in public administration as well as a downstream scientific career (PhD).

Industrial Engineering and Management M.Sc. 16 Module Handbook as of 30/09/2021 4 KEY SKILLS

4 Key Skills The master program Industrial Engineering and Management (M.Sc.) at the KIT Department of Economics and Management distinguishes itself by an exceptionally high level of interdisciplinarity. With the combination of business science, economics, informatics, operations research, mathematics as well as engineering and natural science, the integration of knowledge of different disciplines is an inherent element of the programme. As a result, interdisciplinary and connected thinking is encouraged in a natural way. Furthermore, the seminar courses in the master degree programme contribute significantly to the development of key skills by practicing to elaborate and write scientifically sound papers and presentations about special topics. The integrative taught key skills, which are acquired throughout the entire programme, can be classified into the following fields: Soft skills

Team work, social communication and creativity techniques Presentations and presentation techniques Logical and systematical arguing and writing Structured problem solving and communication

Enabling skills

Decision making in business context Project management competences Fundamentals of business science English as a foreign language

Orientational knowledge

Acquisition of interdisciplinary knowledge Institutional knowledge about economic and legal systems Knowledge about international organisations Media, technology and innovation

The integrative acquisition of key skills especially takes place in several obligatory courses during the master programme, namely

• Seminar module • Mentoring of the Master's thesis • Business science, economics and informatics modules

Besides the integrated key skills, the additive acquisition of key skills, which are totalling at least three credits within the seminar module, is scheduled. Students may choose freely among the offered courses of HoC, ZAK and Sprachenzenrtum.

Industrial Engineering and Management M.Sc. 17 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE

5 Field of study structure

Mandatory Master Thesis 30 CR Business Administration 18 CR Economics 9 CR Informatics 9 CR Operations Research 9 CR Engineering Sciences 18 CR Compulsory Elective Modules 27 CR

5.1 Master Thesis Credits 30

Mandatory M-WIWI-101650 Module Master Thesis 30 CR

Industrial Engineering and Management M.Sc. 18 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Business Administration

5.2 Business Administration Credits 18

Election block: Business Administration (2 items) M-WIWI-105659 Advanced Machine Learning and Data Science 9 CR M-WIWI-101410 Business & Service Engineering 9 CR M-WIWI-105714 Consumer Research neu 9 CR M-WIWI-101498 Management Accounting 9 CR M-WIWI-101510 Cross-Functional Management Accounting 9 CR M-WIWI-103117 Data Science: Data-Driven Information Systems 9 CR M-WIWI-103118 Data Science: Data-Driven User Modeling 9 CR M-WIWI-101647 Data Science: Evidence-based Marketing 9 CR M-WIWI-105661 Data Science: Intelligent, Adaptive, and Learning Information Services 9 CR M-WIWI-104080 Designing Interactive Information Systems 9 CR M-WIWI-103720 eEnergy: Markets, Services and Systems 9 CR M-WIWI-101409 Electronic Markets 9 CR M-WIWI-101451 Energy Economics and Energy Markets 9 CR M-WIWI-101452 Energy Economics and Technology 9 CR M-WIWI-101488 Entrepreneurship (EnTechnon) 9 CR M-WIWI-101482 Finance 1 9 CR M-WIWI-101483 Finance 2 9 CR M-WIWI-101480 Finance 3 9 CR M-WIWI-101471 Industrial Production II 9 CR M-WIWI-101412 Industrial Production III 9 CR M-WIWI-101411 Information Engineering 9 CR M-WIWI-104068 Information Systems in Organizations 9 CR M-WIWI-101507 Innovation Management 9 CR M-WIWI-105312 Marketing and Sales Management 9 CR M-WIWI-101446 Market Engineering 9 CR M-WIWI-101506 Service Analytics 9 CR M-WIWI-101503 Service Design Thinking 9 CR M-WIWI-102754 Service Economics and Management 9 CR M-WIWI-102806 Service Innovation, Design & Engineering 9 CR M-WIWI-101448 Service Management 9 CR M-WIWI-103119 Advanced Topics in Strategy and Management 9 CR M-WIWI-105010 Student Innovation Lab (SIL) 1 9 CR

Industrial Engineering and Management M.Sc. 19 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Economics

5.3 Economics Credits 9

Election block: Economics (1 item) M-WIWI-101497 Agglomeration and Innovation 9 CR M-WIWI-101453 Applied Strategic Decisions 9 CR M-WIWI-101504 Collective Decision Making 9 CR M-WIWI-101505 Experimental Economics 9 CR M-WIWI-101514 Innovation Economics 9 CR M-WIWI-101478 Innovation and Growth 9 CR M-WIWI-101500 Microeconomic Theory 9 CR M-WIWI-101406 Network Economics 9 CR M-WIWI-101638 Econometrics and Statistics I 9 CR M-WIWI-101502 Economic Theory and its Application in Finance 9 CR M-WIWI-101468 Environmental Economics 9 CR M-WIWI-101511 Advanced Topics in Public Finance 9 CR M-WIWI-101485 Transport Infrastructure Policy and Regional Development 9 CR M-WIWI-101496 Growth and Agglomeration 9 CR

5.4 Informatics Credits 9

Election block: Informatics (1 item) M-WIWI-101472 Informatics 9 CR

5.5 Operations Research Credits 9

Election block: Operations Research (1 item) M-WIWI-101473 Mathematical Programming 9 CR M-WIWI-102832 Operations Research in Supply Chain Management 9 CR M-WIWI-102805 Service Operations 9 CR M-WIWI-103289 Stochastic Optimization 9 CR

Industrial Engineering and Management M.Sc. 20 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Engineering Sciences

5.6 Engineering Sciences Credits 18

Industrial Engineering and Management M.Sc. 21 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Engineering Sciences

Election block: Engineering Sciences (2 items) M-MACH-101298 Automated Manufacturing Systems 9 CR M-WIWI-101404 Extracurricular Module in Engineering 9 CR M-MACH-101274 Rail System Technology 9 CR M-MACH-101290 BioMEMS 9 CR M-BGU-105592 Digitalization in Facility Management 9 CR M-MACH-101296 Energy and Process Technology I 9 CR M-MACH-101297 Energy and Process Technology II 9 CR M-BGU-100998 Design, Construction, Operation and Maintenance of Highways 9 CR M-ETIT-101164 Generation and Transmission of Renewable Power 9 CR M-BGU-105597 Facility Management in Hospitals 9 CR M-MACH-101264 Handling Characteristics of Motor Vehicles 9 CR M-MACH-101265 Vehicle Development 9 CR M-MACH-101266 Automotive Engineering 9 CR M-MACH-101276 Manufacturing Technology 9 CR M-MACH-101282 Global Production and Logistics 9 CR M-BGU-101064 Fundamentals of Transportation 9 CR M-CIWVT-101120 Principles of Food Process Engineering 9 CR M-ETIT-101163 High-Voltage Technology 9 CR M-MACH-102626 Major Field: Integrated Product Development 18 CR M-MACH-101272 Integrated Production Planning 9 CR M-BGU-101884 Lean Management in Construction 9 CR M-MACH-105298 Logistics and Supply Chain Management 9 CR M-MACH-101277 Material Flow in Logistic Systems 9 CR M-MACH-101278 Material Flow in Networked Logistic Systems 9 CR M-MACH-101291 Microfabrication 9 CR M-MACH-101292 Microoptics 9 CR M-MACH-101287 Microsystem Technology 9 CR M-MACH-101267 Mobile Machines 9 CR M-MACH-101294 Nanotechnology 9 CR M-WIWI-104837 Natural Hazards and Risk Management 9 CR M-MACH-101295 Optoelectronics and Optical Communication 9 CR M-BGU-101888 Project Management in Construction 9 CR M-ETIT-101157 Control Engineering II 9 CR M-ETIT-101158 Sensor Technology I 9 CR M-BGU-101066 Safety, Computing and Law in Highway Engineering 9 CR M-MACH-101268 Specific Topics in Materials Science 9 CR M-BGU-100999 Highway Engineering 9 CR M-MACH-105455 Strategic Design of Modern Production Systems 9 CR M-MACH-101279 Technical Logistics 9 CR M-BGU-104448 Urban Water Technologies 9 CR M-MACH-101275 Combustion Engines I 9 CR M-MACH-101303 Combustion Engines II 9 CR M-BGU-101110 Process Engineering in Construction 9 CR M-BGU-101065 Transportation Modelling and Traffic Management 9 CR M-MACH-101284 Specialization in Production Engineering 9 CR M-CIWVT-101119 Specialization in Food Process Engineering 9 CR M-MACH-104888 Advanced Module Logistics 9 CR M-MACH-101283 Virtual Engineering A 9 CR M-MACH-101281 Virtual Engineering B 9 CR M-CIWVT-101121 Water Chemistry and Water Technology I 9 CR

Industrial Engineering and Management M.Sc. 22 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Engineering Sciences

M-CIWVT-101122 Water Chemistry and Water Technology II 9 CR M-MACH-101286 Machine Tools and Industrial Handling 9 CR

Industrial Engineering and Management M.Sc. 23 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Compulsory Elective Modules

5.7 Compulsory Elective Modules Credits 27

Election notes Within the scope of the elective compulsory area, one seminar module (independent of subject) is to be taken over two seminars and further key qualification courses and two elective modules. Both elective modules can be chosen from Business Administration, Economics, Informatics, Operations Research, Engineering Sciences, Statistics, Law or Sociology. In principle, both elective modules can also be completed in one subject. However, the subjects Law and Sociology may only have one module in total.

Industrial Engineering and Management M.Sc. 24 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Compulsory Elective Modules

Mandatory M-WIWI-101808 Seminar Module 9 CR Election block: Business Administration (at most 18 credits) M-WIWI-105659 Advanced Machine Learning and Data Science 9 CR M-WIWI-101410 Business & Service Engineering 9 CR M-WIWI-105714 Consumer Research neu 9 CR M-WIWI-101498 Management Accounting 9 CR M-WIWI-101510 Cross-Functional Management Accounting 9 CR M-WIWI-103117 Data Science: Data-Driven Information Systems 9 CR M-WIWI-103118 Data Science: Data-Driven User Modeling 9 CR M-WIWI-101647 Data Science: Evidence-based Marketing 9 CR M-WIWI-105661 Data Science: Intelligent, Adaptive, and Learning Information Services 9 CR M-WIWI-104080 Designing Interactive Information Systems 9 CR M-WIWI-102808 Digital Service Systems in Industry 9 CR M-WIWI-103720 eEnergy: Markets, Services and Systems 9 CR M-WIWI-101409 Electronic Markets 9 CR M-WIWI-101451 Energy Economics and Energy Markets 9 CR M-WIWI-101452 Energy Economics and Technology 9 CR M-WIWI-101488 Entrepreneurship (EnTechnon) 9 CR M-WIWI-101482 Finance 1 9 CR M-WIWI-101483 Finance 2 9 CR M-WIWI-101480 Finance 3 9 CR M-WIWI-101471 Industrial Production II 9 CR M-WIWI-101412 Industrial Production III 9 CR M-WIWI-101411 Information Engineering 9 CR M-WIWI-104068 Information Systems in Organizations 9 CR M-WIWI-101507 Innovation Management 9 CR M-WIWI-101446 Market Engineering 9 CR M-WIWI-105312 Marketing and Sales Management 9 CR M-WIWI-101506 Service Analytics 9 CR M-WIWI-101503 Service Design Thinking 9 CR M-WIWI-102806 Service Innovation, Design & Engineering 9 CR M-WIWI-101448 Service Management 9 CR M-WIWI-102754 Service Economics and Management 9 CR M-WIWI-103119 Advanced Topics in Strategy and Management 9 CR M-WIWI-105010 Student Innovation Lab (SIL) 1 9 CR M-WIWI-105011 Student Innovation Lab (SIL) 2 9 CR Election block: Economics (at most 18 credits) M-WIWI-101497 Agglomeration and Innovation 9 CR M-WIWI-101453 Applied Strategic Decisions 9 CR M-WIWI-101504 Collective Decision Making 9 CR M-WIWI-101505 Experimental Economics 9 CR M-WIWI-101514 Innovation Economics 9 CR M-WIWI-101478 Innovation and Growth 9 CR M-WIWI-101500 Microeconomic Theory 9 CR M-WIWI-101406 Network Economics 9 CR M-WIWI-101638 Econometrics and Statistics I 9 CR M-WIWI-101502 Economic Theory and its Application in Finance 9 CR M-WIWI-101468 Environmental Economics 9 CR M-WIWI-101485 Transport Infrastructure Policy and Regional Development 9 CR M-WIWI-101511 Advanced Topics in Public Finance 9 CR

Industrial Engineering and Management M.Sc. 25 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Compulsory Elective Modules

M-WIWI-101496 Growth and Agglomeration 9 CR Election block: Informatics (at most 18 credits) M-WIWI-101628 Emphasis in Informatics 9 CR M-WIWI-101630 Electives in Informatics 9 CR Election block: Operations Research (at most 18 credits) M-WIWI-101473 Mathematical Programming 9 CR M-WIWI-102832 Operations Research in Supply Chain Management 9 CR M-WIWI-102805 Service Operations 9 CR M-WIWI-103289 Stochastic Optimization 9 CR Election block: Engineering Sciences (at most 18 credits) M-WIWI-101404 Extracurricular Module in Engineering 9 CR M-MACH-101298 Automated Manufacturing Systems 9 CR M-MACH-101274 Rail System Technology 9 CR M-MACH-101290 BioMEMS 9 CR M-BGU-105592 Digitalization in Facility Management 9 CR M-MACH-101296 Energy and Process Technology I 9 CR M-MACH-101297 Energy and Process Technology II 9 CR M-BGU-100998 Design, Construction, Operation and Maintenance of Highways 9 CR M-ETIT-101164 Generation and Transmission of Renewable Power 9 CR M-BGU-105597 Facility Management in Hospitals 9 CR M-MACH-101264 Handling Characteristics of Motor Vehicles 9 CR M-MACH-101265 Vehicle Development 9 CR M-MACH-101266 Automotive Engineering 9 CR M-MACH-101276 Manufacturing Technology 9 CR M-MACH-101282 Global Production and Logistics 9 CR M-BGU-101064 Fundamentals of Transportation 9 CR M-CIWVT-101120 Principles of Food Process Engineering 9 CR M-ETIT-101163 High-Voltage Technology 9 CR M-MACH-101272 Integrated Production Planning 9 CR M-MACH-102626 Major Field: Integrated Product Development 18 CR M-BGU-101884 Lean Management in Construction 9 CR M-MACH-105298 Logistics and Supply Chain Management 9 CR M-MACH-101277 Material Flow in Logistic Systems 9 CR M-MACH-101278 Material Flow in Networked Logistic Systems 9 CR M-MACH-101291 Microfabrication 9 CR M-MACH-101292 Microoptics 9 CR M-MACH-101287 Microsystem Technology 9 CR M-MACH-101267 Mobile Machines 9 CR M-MACH-101294 Nanotechnology 9 CR M-WIWI-104837 Natural Hazards and Risk Management 9 CR M-MACH-101295 Optoelectronics and Optical Communication 9 CR M-BGU-101888 Project Management in Construction 9 CR M-ETIT-101157 Control Engineering II 9 CR M-ETIT-101158 Sensor Technology I 9 CR M-BGU-101066 Safety, Computing and Law in Highway Engineering 9 CR M-MACH-101268 Specific Topics in Materials Science 9 CR M-BGU-100999 Highway Engineering 9 CR M-MACH-105455 Strategic Design of Modern Production Systems 9 CR M-MACH-101279 Technical Logistics 9 CR M-BGU-104448 Urban Water Technologies 9 CR M-MACH-101275 Combustion Engines I 9 CR

Industrial Engineering and Management M.Sc. 26 Module Handbook as of 30/09/2021 5 FIELD OF STUDY STRUCTURE Compulsory Elective Modules

M-MACH-101303 Combustion Engines II 9 CR M-BGU-101110 Process Engineering in Construction 9 CR M-BGU-101065 Transportation Modelling and Traffic Management 9 CR M-MACH-101284 Specialization in Production Engineering 9 CR M-CIWVT-101119 Specialization in Food Process Engineering 9 CR M-MACH-104888 Advanced Module Logistics 9 CR M-MACH-101283 Virtual Engineering A 9 CR M-MACH-101281 Virtual Engineering B 9 CR M-CIWVT-101121 Water Chemistry and Water Technology I 9 CR M-CIWVT-101122 Water Chemistry and Water Technology II 9 CR M-MACH-101286 Machine Tools and Industrial Handling 9 CR Election block: Statistics (at most 18 credits) M-WIWI-101637 Analytics and Statistics 9 CR M-WIWI-101638 Econometrics and Statistics I 9 CR M-WIWI-101639 Econometrics and Statistics II 9 CR Election block: Law or Sociology (at most 9 credits) M-INFO-101217 Public Business Law 9 CR M-INFO-101215 Intellectual Property Law 9 CR M-INFO-101216 Private Business Law 9 CR M-GEISTSOZ-101169 Sociology 9 CR M-INFO-101191 Commercial Law 9 CR

Industrial Engineering and Management M.Sc. 27 Module Handbook as of 30/09/2021 6 MODULES

6 Modules

M 6.1 Module: Advanced Machine Learning and Data Science [M-WIWI-105659]

Responsible: Prof. Dr. Maxim Ulrich Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term English 4 1

Mandatory T-WIWI-111305 Advanced Machine Learning and Data Science 9 CR Ulrich

Competence Certificate The assessment is carried out in form of a written thesis based on the course "Advanced Machine Learning and Data Science".

Competence Goal Students with good technological knowledge and an affinity for IT applications solve a data science problem using modern machine learning methods. Students learn to organize themselves in a team in a goal-oriented manner and to bring an extensive software project in the field of data science and machine learning to success. In addition, students deepen their data science and machine learning skills. Students of this module are particularly well prepared for management tasks in various data science and machine learning projects.

Prerequisites see T-WIWI-106193 "Advanced Machine Learning and Data Science".

Content The course is targeted to students with a major in Data Science and/or Machine Learning. It offers students the opportunity to develop hands-on knowledge on new developments in data science and machine learning.

Recommendation None

Workload Total effort for 9 credit points: approx. 270 hours. The total workload for this module is approx. 270 hours (9 credit points). The total number of hours results from the effort for attending the internship events and the independent creation of the software solution, as well as the examination times and the time required to achieve the learning objectives of the module for an average student for an average performance.

Industrial Engineering and Management M.Sc. 28 Module Handbook as of 30/09/2021 6 MODULES Module: Advanced Module Logistics [M-MACH-104888]

M 6.2 Module: Advanced Module Logistics [M-MACH-104888]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 4

Election block: Specialization module logistics () T-MACH-102160 Selected Applications of Technical Logistics 4 CR Milushev, Mittwollen T-MACH-108945 Selected Applications of Technical Logistics - Project 2 CR Milushev, Mittwollen T-MACH-105230 Decentrally Controlled Intralogistic Systems 4 CR Furmans, Hochstein T-MACH-102159 Elements and Systems of Technical Logistics 4 CR Fischer, Mittwollen T-MACH-108946 Elements and Systems of Technical Logistics - Project 2 CR Fischer, Mittwollen T-MACH-105151 Energy Efficient Intralogistic Systems 4 CR Braun, Schönung T-MACH-111003 Global Logistics 4 CR Furmans T-MACH-102128 Information Systems and Supply Chain Management 3 CR Kilger T-MACH-105187 IT-Fundamentals of Logistics 4 CR Thomas T-MACH-105174 Warehousing and Distribution Systems 3 CR Furmans T-MACH-105175 Airport Logistics 3 CR Richter T-MACH-106693 Plug-and-Play Material Handling 4 CR Auberle, Furmans T-MACH-105171 Safety Engineering 4 CR Kany

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student aquires

• well-founded knowledge and method knowledge in the main topics of logistics, • ability for modeling logistic systems with adequate accuracy by using simple models, • ability to evaluate logistic systems and to identify cause-and-effects-chains within logistic systems.

Prerequisites One of the modules M-MACH-101279, M-MACH-101277, M-MACH-101280 or M-MACH-105298 must be completed.

Workload 270 hours

Learning type Lecture, tutorial.

Industrial Engineering and Management M.Sc. 29 Module Handbook as of 30/09/2021 6 MODULES Module: Advanced Topics in Public Finance [M-WIWI-101511]

M 6.3 Module: Advanced Topics in Public Finance [M-WIWI-101511]

Responsible: Prof. Dr. Berthold Wigger Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 7

Election block: Electives (between 1 and 2 items) T-WIWI-108711 Basics of German Company Tax Law and Tax Planning 4,5 CR Gutekunst, Wigger T-WIWI-102740 Public Management 4,5 CR Wigger Election block: Supplementary Courses (between 0 and 1 items) T-WIWI-111304 Fundamentals of National and International Group Taxation 4,5 CR Wigger T-WIWI-102739 Public Revenues 4,5 CR Wigger

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• understands the theory and politics of taxation • has knowledge in the area of public debt. • understands efficiency problems of public organizations. • is able to work on fiscal problems.

Prerequisites At least one of the courses "Public Management" or "Basics of German Company Tax Law and Tax Planning" is mandatory in the module and must be successfully examined.

Content As a branch of Economics, Public Finance is concerned with the theory and policy of the public sector and its interrelations with the private sector. It analyzes the economic role of the state from a normative as well as from a positive point of view. The normative view examines efficiency- and equity-oriented motives for government intervention and develops fiscal policy guidelines. The positive view explains the actual behavior of economic agents in public sector affairs. In the course of the lectures within this module the students achieve knowledge in the areas of public revenues, national and international law of taxation and theory of public sector organizations.

Recommendation Basic knowledge in the area of public finance and public management is required.

Annotation The course T-WIWI-102790 "Specific Aspects in Taxation" will no longer be offered in the module as of winter semester 2018/2019. Students who successfully passed the exam in „Public Management“ before the introduction of the module “Advanced Topics in Public Finance” in winter term 2014/15 are allowed to take both courses “Public Revenues” and “Specific Aspects in Taxation".

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 30 Module Handbook as of 30/09/2021 6 MODULES Module: Advanced Topics in Strategy and Management [M-WIWI-103119]

M 6.4 Module: Advanced Topics in Strategy and Management [M-WIWI-103119]

Responsible: Prof. Dr. Hagen Lindstädt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 1

Election block: Compulsory Elective Courses (9 credits) T-WIWI-106188 Workshop Current Topics in Strategy and Management 3 CR Lindstädt T-WIWI-106189 Workshop Business Wargaming – Analyzing Strategic Interactions 3 CR Lindstädt T-WIWI-106190 Strategy and Management Theory: Developments and “Classics” 3 CR Lindstädt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• are able to analyze business strategies and derive recommendations using appropriate frameworks • learn to express their position through compelling reasoning in structured discussions • are qualified to critically examine recent research topics in the field of strategic management • can derive own conclusions from less structured information by using interdisciplinary knowledge

Prerequisites None

Content The module is divided into three main topics: The students

• analyze and discuss a wide range of business strategies on the basis of collectively selected case studies. • participate in a business wargaming workshop and analyze strategic interactions. • write a paper about current topics in the field of strategic management theory.

Recommendation None

Annotation This course is admission restricted. After being admitted to one course of this module, the participation at the other courses will be guaranteed. Every course of this module will be at least offered every second term. Thus, it will be possible to complete the module within two terms.

Industrial Engineering and Management M.Sc. 31 Module Handbook as of 30/09/2021 6 MODULES Module: Agglomeration and Innovation [M-WIWI-101497]

M 6.5 Module: Agglomeration and Innovation [M-WIWI-101497]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 1 term 4 2

Election block: Compulsory Elective Courses (9 credits) T-WIWI-102609 Advanced Topics in Economic Theory 4,5 CR Mitusch T-WIWI-109194 Dynamic Macroeconomics 4,5 CR Brumm T-WIWI-102840 Innovation Theory and Policy 4,5 CR Ott T-WIWI-103107 Spatial Economics 4,5 CR Ott

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must add up to at least 9. The overall grade for the module is the average of the grades for each course weighted by the credits.

Competence Goal The student

• applies quantitative methods in the context of economic models • learns advanced micro- and macroeconomic theories • is able to derive policy recommendations based on theory • can identify the importance of alternative incentive mechanisms for the development and spread of innovations • begins to understand the connections between market form and the development of innovations • analyzes the determinants of the spatial distribution of economic activity • understands how processes of concentration result from the interplay of agglomeration and dispersion forces

Prerequisites None

Content The module comprises theories of incentives for the development of innovations as well as theories of wage-based labor mobility, which leads to spatial concentration processes. The microfounded optimality decisions of the actors are in each case transformed into macroeconomic results. In the context of the theory of innovations the diffusion of technological knowledge and the resulting effect on growth due to technological progress is discussed and economic-policy implications are derived. Spatial economics adds to the picture of economic activity by introducing a spatial point of view.

Recommendation Successful completion of the courses Economics I: Microeconomics and Economics II: Macroeconomics is required.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 32 Module Handbook as of 30/09/2021 6 MODULES Module: Analytics and Statistics [M-WIWI-101637]

M 6.6 Module: Analytics and Statistics [M-WIWI-101637]

Responsible: Prof. Dr. Oliver Grothe Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (Statistics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 3

Mandatory T-WIWI-103123 Advanced Statistics 4,5 CR Grothe Election block: Supplementary Courses (between 4,5 and 5 credits) T-WIWI-106341 Machine Learning 2 – Advanced Methods 4,5 CR Zöllner T-WIWI-111247 Mathematics for High Dimensional Statistics 4,5 CR Grothe T-WIWI-103124 Multivariate Statistical Methods 4,5 CR Grothe

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal A Student

• Deepens the knowledge of descriptive and inferential statistics. • Deals with simulation methods. • Learns basic and advanced methods of statistical analysis of multivariate and high-dimensional data.

Prerequisites The course "Advanced Statistics" is compulsory.

Content

• Deriving estimates and testing hypotheses • Stochastic processes • Multivariate statistics, copulas • Dependence measures • Dimension reduction • High-dimensional methods • Prediction

Annotation The planned lectures and courses for the next three years are announced online.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 33 Module Handbook as of 30/09/2021 6 MODULES Module: Applied Strategic Decisions [M-WIWI-101453]

M 6.7 Module: Applied Strategic Decisions [M-WIWI-101453]

Responsible: Prof. Dr. Johannes Philipp Reiß Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Mandatory T-WIWI-102861 Advanced Game Theory 4,5 CR Ehrhart, Puppe, Reiß Election block: Supplementary Courses (between 4,5 and 5 credits) T-WIWI-102613 Auction Theory 4,5 CR Ehrhart T-WIWI-102614 Experimental Economics 4,5 CR Weinhardt T-WIWI-102622 Corporate Financial Policy 4,5 CR Ruckes T-WIWI-102623 Financial Intermediation 4,5 CR Ruckes T-WIWI-102640 Market Engineering: Information in Institutions 4,5 CR Weinhardt T-WIWI-102862 Predictive Mechanism and Market Design 4,5 CR Reiß T-WIWI-105781 Incentives in Organizations 4,5 CR Nieken

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• can model and analyze complex situations of strategic interaction using advanced game theoretic concepts; • are provided with essential and advanced game theoretic solution concepts on a rigorous level and can apply them to understand real-life problems; • learn about the experimental method, ranging from designing an economic experiment to data analysis.

Prerequisites The course "Advanced Game Theory" is obligatory. Exception: The course "Introduction to Game Theory" was completed. Even those who have already successfully proven "Advanced Game Theory" in another master module can take the module. In this case you can choose freely from the rest of the offer. However, this choice can only be made by the examination office of the Department of Economics and Management.

Content The module provides solid skills in game theory and offers a broad range of game theoretic applications. To improve the understanding of theoretical concepts, it pays attention to empirical evidence as well.

Recommendation Basic knowledge in game theory is assumed.

Annotation The course Predictive Mechanism and Market Design is not offered each year.

Workload The total workload for this module is approximately 270 hours. The exact distribution is made according to the credit points of the courses of the module.

Industrial Engineering and Management M.Sc. 34 Module Handbook as of 30/09/2021 6 MODULES Module: Automated Manufacturing Systems [M-MACH-101298]

M 6.8 Module: Automated Manufacturing Systems [M-MACH-101298]

Responsible: Prof. Dr.-Ing. Jürgen Fleischer Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 1 term German 4 1

Mandatory T-MACH-102162 Automated Manufacturing Systems 9 CR Fleischer

Competence Certificate written exam (120 minutes)

Competence Goal The students

• are able to analyze implemented automated manufacturing systems and describe their components. • are capable to assess the implemented examples of implemented automated manufacturing systems and apply them to new problems. • are able to name automation tasks in manufacturing plants and name the components which are necessary for the implementation of each automation task. • are capable with respect to a given task to plan the configuration of an automated manufacturing system and to determine the necessary components to its realization. • are able to design and select components for a given use case of the categories: "Handling Technology", "Industrial Robotics", "Sensory" and "Controls". • are capable to compare different concepts for multi-machine systems and select a suitable concept for a given use case.

Prerequisites none

Content The lecture provides an overview of the structure and functioning of automated manufacturing systems. In the introduction chapter the basic elements for the realization of automated manufacturing systems are given. This includes:

• Drive and control technology • Handling technology for handling work pieces and tools • Industrial Robotics • Quality assurance in automated manufacturing • automatic machines, cells, centers and systems for manufacturing and assembly • structures of multi-machine systems • planning of automated manufacturing systems

In the second part of the lecture, the basics are illustrated using implemented manufacturing processes for the production of automotive components (chassis and drive technology).The analysis of automated manufacturing systems for manufacturing of defined components is also included. In the field of vehicle power train both, the automated manufacturing process for the production of the conventional internal-combustion engine and the automated manufacturing process for the production of the prospective electric power train (electric motor and battery) are considered. In the field of car body, the focus is on the analysis of the process chain for the automated manufacturing of conventional sheet metal body parts, as well as for automated manufacturing of body components made out of fiber-reinforced plastics. Within tutorials, the contents from the lecture are advanced and applied to specific problems and tasks.

Workload regular attendance: 63 hours self-study: 207 hours

Learning type Lectures, exercise, excursion

Industrial Engineering and Management M.Sc. 35 Module Handbook as of 30/09/2021 6 MODULES Module: Automotive Engineering [M-MACH-101266]

M 6.9 Module: Automotive Engineering [M-MACH-101266]

Responsible: Prof. Dr. Frank Gauterin Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Election block: Automotive Engineering (at least 9 credits) T-MACH-100092 Automotive Engineering I 6 CR Gauterin, Unrau T-MACH-102117 Automotive Engineering II 3 CR Gauterin, Unrau T-MACH-102156 Project Workshop: Automotive Engineering 4,5 CR Frey, Gauterin, Gießler T-MACH-102116 Fundamentals for Design of Motor-Vehicle Bodies I 1,5 CR Bardehle T-MACH-102119 Fundamentals for Design of Motor-Vehicle Bodies II 1,5 CR Bardehle T-MACH-102093 Fluid Power Systems 5 CR Geimer, Pult T-MACH-102150 BUS-Controls 3 CR Becker, Geimer T-MACH-108889 BUS-Controls - Advance 0 CR Daiß, Geimer This item will not influence the grade calculation of this parent. T-MACH-102203 Automotive Engineering I 6 CR Gauterin, Gießler T-MACH-110796 Python Algorithm for Vehicle Technology 4 CR Rhode

Competence Certificate The assessment is carried out as partial exams. The partial exams consists of a written exam (90 to 120 minutes) or an oral exam (duration 30 to 40 minutes).

Competence Goal The student

• knows the most important components of a vehicle, • knows and understands the functioning and the interaction of the individual components, • knows the basics of dimensioning the components.

Prerequisites None

Content In the module Automotive Engineering the basics are taught, which are important for the development, the design, the production and the operation of vehicles. Particularly the primary important aggregates like engine, gear, drive train, chasis and auxiliary equipment are explained, but also all technical equipment, which make the operation safer and easier. Additionally the interior equipment is examined, which shall provide a preferably comfortable, optimum ambience to the user. In the module Automotive Engineering the focus is on passenger cars and commercial vehicles, which are designed for road applications.

Recommendation Knowledge of the content of the courses Engineering Mechanics I [2161238] and Engineering Mechanics II [1262276] is helpful.

Workload The total work load for this module is about 270 Hours (9 Credits). The partition of the work load is carried out according to the credit points of the courses of the module. The work load for courses with 6 credit points is about 180 hours, for courses with 4.5 credit points about 135 hours, for courses with 3 credit points about 90 hours, and for courses with 1.5 credit points about 45 hours. The total number of hours per course results from the time of visiting the lectures and exercises, as well as from the exam duration and the time that is required to achieve the objectives of the module as an average student with an average performance.

Learning type The teaching and learning procedures (lecture, lab course, workshop) are described for each course of the module separately.

Industrial Engineering and Management M.Sc. 36 Module Handbook as of 30/09/2021 6 MODULES Module: BioMEMS [M-MACH-101290]

M 6.10 Module: BioMEMS [M-MACH-101290]

Responsible: Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Mandatory T-MACH-100966 BioMEMS - Microsystems Technologies for Life-Sciences and 3 CR Guber Medicine I Election block: BioMEMS (at least 6 credits) T-MACH-102164 Practical Training in Basics of Microsystem Technology 3 CR Last T-MACH-102165 Selected Topics on Optics and Microoptics for Mechanical Engineers 3 CR Heckele, Mappes T-MACH-100967 BioMEMS - Microsystems Technologies for Life-Sciences and 3 CR Guber Medicine II T-MACH-100968 BioMEMS - Microsystems Technologies for Life-Sciences and 3 CR Guber Medicine III T-MACH-101910 Microactuators 3 CR Kohl T-MACH-102172 Bionics for Engineers and Natural Scientists 3 CR Hölscher T-MACH-102176 Current Topics on BioMEMS 4 CR Guber

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• has basic as well as extensive knowledge about different fields of applications of BioMEMS • understands continuative aspects of the related subjects optics and microoptics, micro actuators, replications techniques and bionics

Prerequisites none

Content Operations through small orifices, a pill which will take pictures on its way through your body or lab results right at the point of care - the need for easier and faster ways to help people is an important factor in research. The module BioMEMS (Bio(medical)- Micro-Electro-Mechanical-Systems) describes the application of microtechnology in the field of Life-Science, medical applications and Biotechnology and will teach you the necessary skills to understand and develop biological and medical devices. The BioMEMS lectures will cover the fields of minimal invasive surgery, lab-on-chip systems, NOTES-Technology (Natural Orifice Transluminal Endoscopic Surgery), as well as endoscopic surgery and stent technology. Additionally to the BioMEMS lectures you can specialize in various related fields like fabrication, actuation, optics and bionics. The course Replication processes will teach you some cost efficient and fast ways to produce parts for medical or biological devices. In the course Microactuation it is discussed how to receive movements in micrometer scale in a microsystem, this could be e.g. to drive micro pumps or micro valves. The necessary tools for optical measurement and methods of analysis to gain high resolution pictures are also part of this module. To deepen your knowledge and to get a hands-on experience this module contains a one week lab course. In the lecture bionics you can see how biological effects can be transferred into technical products.

Workload 270 hours

Industrial Engineering and Management M.Sc. 37 Module Handbook as of 30/09/2021 6 MODULES Module: Business & Service Engineering [M-WIWI-101410]

M 6.11 Module: Business & Service Engineering [M-WIWI-101410]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 5

Election block: Compulsory Elective Courses (9 credits) T-WIWI-102639 Business Models in the Internet: Planning and Implementation 4,5 CR Weinhardt T-WIWI-102848 Personalization and Services 4,5 CR Sonnenbichler T-WIWI-110887 Practical Seminar: Service Innovation 4,5 CR Satzger T-WIWI-102847 Recommender Systems 4,5 CR Geyer-Schulz T-WIWI-102641 Service Innovation 4,5 CR Satzger T-WIWI-109940 Special Topics in Information Systems 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student should

• learn to develop and implement new markets with regards to the technological progresses of information and communication technology and the increasing economic networking • learn to restructure and develop new business processes in markets under those conditions • understand service competition as a sustainable competitive strategy and understand the effects of service competition on the design of markets, products, processes and services. • improve his statistics skills and apply them to appropriate cases • learn to elaborate solutions in a team

Prerequisites None

Content This module addresses the challenges of creating new kinds of products, processes, services, and markets from a service perspective in the context of new developed information and communication technologies and the globalization process. The module describes service competition as a business strategy in the long term that leads to the design of business processes, business models, forms of organization, markets, and competition. This will be shown by actual examples from personalized services, recommender services and social networks.

Recommendation None

Annotation All practical Seminars offered at the IM can be chosen for Special Topics in Information Systems. Please update yourself on www.iism.kit.edu/im/lehre .

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 38 Module Handbook as of 30/09/2021 6 MODULES Module: Collective Decision Making [M-WIWI-101504]

M 6.12 Module: Collective Decision Making [M-WIWI-101504]

Responsible: Prof. Dr. Clemens Puppe Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term English 4 4

Election block: Compulsory Elective Courses () T-WIWI-102740 Public Management 4,5 CR Wigger T-WIWI-102859 Social Choice Theory 4,5 CR Puppe

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• are able to model practical problems of the public sector and to analyze them with respect to positive and normative questions, • understand individual incentives and social outcomes of different institutional designs, • are familiar with the functioning and design of democratic elections and can analyze them with respect to their individual incentives.

Prerequisites None

Content The focus of the module is on mechanisms of public decisions making, including voting and the aggregation of preferences and judgements.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 39 Module Handbook as of 30/09/2021 6 MODULES Module: Combustion Engines I [M-MACH-101275]

M 6.13 Module: Combustion Engines I [M-MACH-101275]

Responsible: Prof. Dr. Thomas Koch Dr.-Ing. Heiko Kubach Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German 4 5

Election block: Wahlpflicht (between 1 and 2 items) T-MACH-111550 CO2-Neutral Combustion Engines and their Fuels I 4 CR Koch T-MACH-105564 Energy Conversion and Increased Efficiency in Internal Combustion 4 CR Koch, Kubach Engines

Competence Certificate The module examination contains of two oral examinations. The module score results from the two scores weighted according to the ECTS.

Competence Goal The student can name and explain the working princile of combustion engines. He is able to analyse and evaluate the combustion process. He is able to evaluate influences of gas exchange, mixture formation, fuels and exhaust gas aftertreatment on the combustion performance. He can solve basic research problems in the field of engine development. The student can name all important influences on the combustion process. He can analyse and evaluate the engine process considering efficiency, emissions and potential.

Prerequisites None

Content Working Principle og ICE Characteristic Parameters Characteristic parameters Engine parts Crank drive Fuels Gasolien engine operation modes Diesel engine operation modes Emissions Fundamentals of ICE combustion Thermodynamics of ICE Flow field Wall heat losses Combsution in Gasoline and Diesel engines Heat release calculation Waste heat recovery

Workload regular attendance: 62 hours self-study: 208 hours

Learning type Tutorial

Industrial Engineering and Management M.Sc. 40 Module Handbook as of 30/09/2021 6 MODULES Module: Combustion Engines II [M-MACH-101303]

M 6.14 Module: Combustion Engines II [M-MACH-101303]

Responsible: Dr.-Ing. Heiko Kubach Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 3

Mandatory T-MACH-104609 Combustion Engines II 5 CR Koch, Kubach Election block: Verbrennungsmotoren II (at least 4 credits) T-MACH-105044 Fundamentals of Catalytic Exhaust Gas Aftertreatment 4 CR Deutschmann, Grunwaldt, Kubach, Lox T-MACH-105173 Analysis of Exhaust Gas and Lubricating Oil in Combustion Engines 4 CR Gohl T-MACH-105184 Fuels and Lubricants for Combustion Engines 4 CR Kehrwald, Kubach T-MACH-105167 Analysis Tools for Combustion Diagnostics 4 CR Pfeil T-MACH-105169 Engine Measurement Techniques 4 CR Bernhardt T-MACH-110817 Development of hybrid drivetrains 4 CR Koch T-MACH-110816 Großdiesel- und -gasmotoren für Schiffsantriebe 4 CR Kubach T-MACH-105649 Boosting of Combustion Engines 4 CR Kech, Kubach T-MACH-105985 Ignition Systems 4 CR Toedter

Competence Certificate The assessment consists of an oral exam (60 min) taking place in the recess period (according to §4 (2), 2 of the examination regulation). The exam takes place in every semester. Reexaminations are offered at every ordinary examination date.

Competence Goal See courses.

Prerequisites None

Content Compulsory: Supercharging and air management Engine mapsEmissions and Exhaust gas aftertreatment Transient engine operationECU application Electrification and alternative powertrains Elective: Fuels and lubricants for ICE Fundamentals of catalytic EGA Analysis tools for combustion diagnostics Engine measurement techniques Analysis of Exhaust Gas und Lubricating Oil in Combustion Engines

Workload regular attendance: 62 h self-study: 208 h

Learning type Lecture, Tutorial

Industrial Engineering and Management M.Sc. 41 Module Handbook as of 30/09/2021 6 MODULES Module: Commercial Law [M-INFO-101191]

M 6.15 Module: Commercial Law [M-INFO-101191]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: Compulsory Elective Modules (Law or Sociology)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 3 terms German 4 3

Mandatory T-INFO-102013 Exercises in Civil Law 9 CR Dreier, Matz

Industrial Engineering and Management M.Sc. 42 Module Handbook as of 30/09/2021 6 MODULES Module: Consumer Research [M-WIWI-105714]

M 6.16 Module: Consumer Research [M-WIWI-105714]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German/English 4 1

Election block: Compulsory Elective Courses () T-WIWI-111393 Behavioral Experiments in Action 4,5 CR Scheibehenne T-WIWI-111392 Cognitive Modeling 4,5 CR Scheibehenne T-WIWI-111100 Current Directions in Consumer Psychology 3 CR Scheibehenne T-WIWI-111395 Experimental Design 4,5 CR Scheibehenne T-WIWI-111099 Judgment and Decision Making 4,5 CR Scheibehenne T-WIWI-107720 Market Research 4,5 CR Klarmann T-WIWI-111394 Open Science & Reproducibility 4,5 CR Scheibehenne

Competence Certificate The assessment is based on partial exams within the classes offered in this module. Please check the descriptions of the classes for details. The overall grade of the module is the arithmetic mean of the grades for each course weighted by the number of credits and truncated after the first decimal.

Competence Goal

• Understand human judgment and decision making in an economic context • Learn how to plan, program, conduct, statistically analyze, visualize, model, and report behavioral experiments • Critically evaluate scientific findings in the aftermath of the replication crisis

Prerequisites Willingness to actively engage with the topic.

Content This module provides students with in-depth knowledge about consumer research at the intersection between Marketing, Psychology, and Cognitive Science. The module consists of classes that look into how individuals and groups make judgments and decisions and what factors influences their behavior (e.g. the lecture on judgment and decision making). Because most findings in this area of research rely on behavioral experiments, this module also focuses on methodological skills. This includes classes on how to plan and design behavioral experiments, conduct and report meaningful statistical analyses, and develop computational cognitive models. The module also includes classes about reproducibility and transparency in the behavioral sciences. The module is a pre-requisite for writing a Master thesis at the KIT Cognition and Consumer Behavior lab.

Recommendation Interest in behavioral research.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 43 Module Handbook as of 30/09/2021 6 MODULES Module: Control Engineering II [M-ETIT-101157]

M 6.17 Module: Control Engineering II [M-ETIT-101157]

Responsible: Prof. Dr.-Ing. Sören Hohmann Dr.-Ing. Mathias Kluwe Organisation: KIT Department of Electrical Engineering and Information Technology Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 2 terms 4 3

Mandatory T-ETIT-100666 Control of Linear Multivariable Systems 6 CR Kluwe T-ETIT-100980 Nonlinear Control Systems 3 CR Kluwe

Competence Certificate The assessment is carried out as partial written exams of the single courses of this module (T-ETIT-100980 and T-ETIT-100666).

Module grade calculation The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Prerequisites none

Recommendation For this module a basic knowledge in system theory and control engineering is assumed. These subjects can be found in the course System Dynamics and Control Engineering (M-ETIT-102181) which is recommended to have been attended beforehand.

Industrial Engineering and Management M.Sc. 44 Module Handbook as of 30/09/2021 6 MODULES Module: Cross-Functional Management Accounting [M-WIWI-101510]

M 6.18 Module: Cross-Functional Management Accounting [M-WIWI-101510]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 9

Mandatory T-WIWI-102885 Advanced Management Accounting 4,5 CR Wouters Election block: Supplementary Courses (4,5 credits) T-WIWI-110179 Advanced Management Accounting 2 4,5 CR Wouters T-WIWI-105777 Business Intelligence Systems 4,5 CR Mädche, Nadj, Toreini T-WIWI-105781 Incentives in Organizations 4,5 CR Nieken T-WIWI-102835 Marketing Strategy Business Game 1,5 CR Klarmann T-WIWI-107720 Market Research 4,5 CR Klarmann T-WIWI-109864 Product and Innovation Management 3 CR Klarmann T-WIWI-102621 Valuation 4,5 CR Ruckes T-WIWI-108651 Extraordinary additional course in the module Cross-Functional 4,5 CR Wouters Management Accounting

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students will be able to apply advanced management accounting methods to managerial decision-making problems in marketing, finance, organization and strategy.

Prerequisites The course "Advanced Management Accounting" is compulsory. The additional courses can only be chosen after the compulsory course has been completed successfully.

Content The module includes a course on several advanced management accounting methods that can be used for various decisions in operations and innovation management. By selecting another course, each student looks in more detail at one interface between management accounting a particular field in management, namely marketing, finance, or organization and strategy.

Recommendation None

Annotation The module "Cross-functional Management Accounting" always includes the compulsory course “Advanced Management Accounting.” Students look at the interface between management accounting and another field in management. Students build the module by adding a course from the specified list. Students can also suggest another suitable course for this module for evaluation by the coordinator.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 45 Module Handbook as of 30/09/2021 6 MODULES Module: Data Science: Data-Driven Information Systems [M-WIWI-103117]

M 6.19 Module: Data Science: Data-Driven Information Systems [M-WIWI-103117]

Responsible: Prof. Dr. Alexander Mädche Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 9

Election block: Compulsory Elective Courses () T-WIWI-108715 Artificial Intelligence in Service Systems 4,5 CR Satzger T-WIWI-111219 Artificial Intelligence in Service Systems - Applications in Computer 4,5 CR Satzger Vision T-WIWI-109863 Business Data Analytics: Application and Tools 4,5 CR Weinhardt T-WIWI-106187 Business Data Strategy 4,5 CR Weinhardt T-WIWI-105777 Business Intelligence Systems 4,5 CR Mädche, Nadj, Toreini T-WIWI-110918 Introduction to Bayesian Statistics for Analyzing Data 3 CR Scheibehenne T-WIWI-111385 Responsible Artificial Intelligence 4,5 CR Weinhardt T-WIWI-106207 Practical Seminar: Data-Driven Information Systems 4,5 CR Mädche, Satzger, Setzer, Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

Competence Goal The student

• understands the strategic role of integrating, transforming, and analyzing large and complex enterprise data in modern business information systems and is capable of comparing and assessing strategic alternatives • has the core skills to design, model, and control complex, inter-organisational analytical, processes, including various business functions as well as customers and markets • understands the usage of performance indicators for a variety of controlling and management issues and is able to define models for generating the relevant performance indicators under considerations of data availability • distinguishes different analytics methods and concepts and learn when to apply to better understand and anticipate business relationships and developments of industrial and in particular service companies to derive fact- and data- founded managerial actions and strategies. • knows how to capture uncertainty in the data and how to appropriately consider and visualize uncertainty in decision support or business intelligence systems and analytical processes as a whole.

Prerequisites None.

Industrial Engineering and Management M.Sc. 46 Module Handbook as of 30/09/2021 6 MODULES Module: Data Science: Data-Driven Information Systems [M-WIWI-103117]

Content The amount of business-related data availabe in modern enterprise information systems grows exponentially, and the various data sources are more and more integrated, transformed, and analyzed jointly to gain valuable business insights, pro-actively control and manage business processes, to leverage planning and decision making, and to provide appropriate, potentially novel services to customers based on relationships and developments observed in the data. Also, data sources are more and more connected and single business unit that used to operate on separate data pools are now becoming highly integrated, providing tremendeous business opportunities but also challenges regarding how the data should be represented, integrated, preprocessed, transformed, and finally used in analytics planning and decision processes. The courses of this module equip the students with core skills to understands the strategic role of integrating, transforming, and analyzing large and complex enterprise data in modern business information systems. Students will be capable to designing, comparing, and evaluating strategic alternatives. Also, students will learn how to design, model, and control complex analytical processes, including various business functions of industrial and service companies including customers and markets. Students learn core skills to understand fundamental strategies for integrating analytic models and operative controlling mechanisms while ensuring the technical feasibility of the resulting information systems.. Furthermore, the student can distinguish different methods and concepts in the realm of data science and learns when to apply. She/he will know the means of characterizing and analyzing hetergeneous, high-dimensional data available data in data warehouses and external data sources to gain additional insights valuable for enterprise planning and decision making. Also, the students know how to capture uncertainty in the data and how to appropriately consider and visualize uncertainty in business information and business intelligence systems. The module offers the opportunity to apply and deepen this knowledge in a seminar and hands-on tutorials that are offered with all lectures. Texteintrag

Recommendation Basic knowledge of Information Management, Operations Research, Descriptive Statistics, and Inferential Statistics is assumed.

Annotation The course „Business Data Strategy“ can be chosen from winter term 2016 on.

Industrial Engineering and Management M.Sc. 47 Module Handbook as of 30/09/2021 6 MODULES Module: Data Science: Data-Driven User Modeling [M-WIWI-103118]

M 6.20 Module: Data Science: Data-Driven User Modeling [M-WIWI-103118]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 6

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-109863 Business Data Analytics: Application and Tools 4,5 CR Weinhardt T-WIWI-102614 Experimental Economics 4,5 CR Weinhardt T-WIWI-111109 KD²Lab Hands-On Research Course: New Ways and Tools in 4,5 CR Weinhardt Experimental Economics T-WIWI-102899 Modeling and Analyzing Consumer Behavior with R 4,5 CR Dorner, Weinhardt T-WIWI-111385 Responsible Artificial Intelligence 4,5 CR Weinhardt T-WIWI-108765 Practical Seminar: Advanced Analytics 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

Competence Goal Students of this module

• learn methods for planning empirical studies, in particular laboratory experiments, • acquire theoretical knowledge and practical skills in analysing empirical data, • familiarize with different ways of modelling user behaviour, are able to critically discuss, and to evaluate them

Prerequisites None

Content Understanding and supporting user interactions with applications better plays an increasingly large role in the design of business applications. This applies both to interfaces for customers and to internal information systems. The data that is generated during user interactions can be channelled straight into business processes, for instance by analysing and decomposing purchase decisions, and by feeding this data into product design processes. The Crowd Analytics section considers the analysis of data from online platforms, particularly of those following crowd- or peer-to- peer based business models. This includes platforms like Airbnb, Kickstarter and Amazon Mechanical Turk. Theoretical models of user (decision) behaviour help analyzing the empirically observed user behaviour in a systematic fashion. Testing these models and their predictions in controlled experiments (primarily in the lab) in turn helps refine theory and to generate practically relevant design recommendations. Analyses are carried out using advanced analytic methods. Students learn fundamental theoretical models for user behaviour in systems and apply them to cases. Students are also taught methods and skills for conceptualizing and planning empirical studies and for analyzing the resulting data.

Recommendation Basic knowledge of Information Management, Operations Research, Descriptive Statistics, and Inferential Statistics is assumed.

Industrial Engineering and Management M.Sc. 48 Module Handbook as of 30/09/2021 6 MODULES Module: Data Science: Evidence-based Marketing [M-WIWI-101647]

M 6.21 Module: Data Science: Evidence-based Marketing [M-WIWI-101647]

Responsible: Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Election block: Compulsory Elective Courses (9 credits) T-WIWI-103139 Marketing Analytics 4,5 CR Klarmann T-WIWI-107720 Market Research 4,5 CR Klarmann

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• possess advanced knowledge of relevant market research contents • know many different qualitative and quantitative methods for measuring customer behavior, preparation of strategic decisions, making causal deductions, usage of social media data and sales forecasting • possess the statistical skills required for working in marketing research

Prerequisites Keine.

Content This module provides in-depth knowledge of relevant quantitative and qualitative methods used in market research.Students can attend the following courses:

• The course “Market Research” provides contents of practical relevance for measuring customer attitudes and customer behavior. The participants learn using statistical methods for strategic decision-making in marketing. Students who are interested in writing their master thesis at the Marketing & Sales Research Group are required to take this course. • The course "Marketing Analytics“ is based on "Market Research“ and teaches advanced statistical methods for analyzing relevant marketing and market research questions. Please note that a successful completion of "Market Research" is a prerequisite for the completion of "Marketing Analytics".

Recommendation None

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 49 Module Handbook as of 30/09/2021 6 MODULES Module: Data Science: Intelligent, Adaptive, and Learning Information Services [M-WIWI-105661]

M 6.22 Module: Data Science: Intelligent, Adaptive, and Learning Information Services [M-WIWI-105661]

Responsible: Prof. Dr. Andreas Geyer-Schulz Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 1

Election block: Compulsory Elective Courses (9 credits) T-WIWI-109921 Advanced Machine Learning 4,5 CR Geyer-Schulz, Nazemi T-WIWI-111219 Artificial Intelligence in Service Systems - Applications in Computer 4,5 CR Satzger Vision T-WIWI-102762 Business Dynamics 4,5 CR Geyer-Schulz, Glenn T-WIWI-111267 Intelligent Agent Architectures 4,5 CR Geyer-Schulz T-WIWI-110915 Intelligent Agents and Decision Theory 4,5 CR Geyer-Schulz T-WIWI-102848 Personalization and Services 4,5 CR Sonnenbichler T-WIWI-102847 Recommender Systems 4,5 CR Geyer-Schulz

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• models, analyzes and optimizes the structure and dynamics of complex economic changes. • designs and develops intelligent, adaptive or learning agents as essential elements of information services. • knows the essential learning methods for this and can apply them (also on modern architectures) in a targeted manner. • develops and implements personalized services, especially in the area of recommender systems. • develops solutions in teams.

Prerequisites None

Content The Intelligent Architectures course addresses how to design modern agent-based systems. The focus here is on software architecture and design patterns relevant to learning systems. In addition, important machine learning methods that complete the intelligent system are discussed. Examples of systems presented include key-map architectures and genetic methods. The impact of management decisions in complex systems is considered in Business Dynamics. Understanding, modeling, and simulating complex systems enables analysis, purposeful design, and optimization of markets, business processes, regulations, and entire enterprises. Special problems of intelligent systems are covered in Personalization and Services and Recommendersystems. The content includes approaches and methods to design user-oriented services. The measurement and monitoring of service systems is discussed, the design of personalized offers is discussed and the generation of recommendations based on collected data from products and customers is shown. The importance of user modeling and recognition is addressed, as well as data security and privacy.

Recommendation None

Annotation The module replaces from summer semester 2021 M-WIWI-101470 "Data Science: Advanced CRM".

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 50 Module Handbook as of 30/09/2021 6 MODULES Module: Design, Construction, Operation and Maintenance of Highways [M-BGU-100998]

M 6.23 Module: Design, Construction, Operation and Maintenance of Highways [M- BGU-100998]

Responsible: Prof. Dr.-Ing. Ralf Roos Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 1 term German 4 2

Mandatory T-BGU-106613 Design Basics in Highway Engineering 3 CR Roos T-BGU-106300 Infrastructure Management 6 CR Roos

Competence Goal See German version.

Prerequisites The selection of this module excludes the selection of the module "Highway Engineering" (WI4INGBGU2).

Recommendation None

Annotation None

Workload See German version.

Industrial Engineering and Management M.Sc. 51 Module Handbook as of 30/09/2021 6 MODULES Module: Designing Interactive Information Systems [M-WIWI-104080]

M 6.24 Module: Designing Interactive Information Systems [M-WIWI-104080]

Responsible: Prof. Dr. Alexander Mädche Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 3

Mandatory T-WIWI-110851 Designing Interactive Systems 4,5 CR Mädche Election block: Supplementary Courses (at most 4,5 credits) T-WIWI-110877 Engineering Interactive Systems 4,5 CR T-WIWI-111109 KD²Lab Hands-On Research Course: New Ways and Tools in 4,5 CR Weinhardt Experimental Economics T-WIWI-108437 Practical Seminar: Information Systems and Service Design 4,5 CR Mädche

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

Competence Goal The student

• has a comprehensive understanding of conceptual and theoretical foundations of interactive systems • knows design processes for interactive systems • is aware of the most important techniques and tools for designing interactive systems and knows how to apply them to real-world problems • is able to apply design principles for the design of most important classes of interactive systems, • creates new solutions of interactive systems teams

Prerequisites The course “Interactive Information Systems” is compulsory and must be examined.

Content Advanced information and communication technologies make interactive systems ever-present in the users’ private and business life. They are an integral part of smartphones, devices in the smart home, mobility vehicles as well as at the working place in production and administration (e.g. in the form of dashboards). With the continuous growing capabilities of computers, the design of the interaction between human and computer becomes even more important. This module focuses on design processes and principles for interactive systems. The contents of the module abstract from the technical implementation details and focus on foundational concepts, theories, practices and methods for the design of interactive systems. The students get the necessary knowledge to guide the successful implementation of interactive systems in business and private life. Each lecture in the module is accompanied with a capstone project that is carried out with an industry partner.

Annotation See http://issd.iism.kit.edu/305.php for further information.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 52 Module Handbook as of 30/09/2021 6 MODULES Module: Digital Service Systems in Industry [M-WIWI-102808]

M 6.25 Module: Digital Service Systems in Industry [M-WIWI-102808]

Responsible: Prof. Dr. Wolf Fichtner Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 6

Election block: Compulsory Elective Courses (9 credits) T-WIWI-102872 Challenges in Supply Chain Management 4,5 CR Mohr T-WIWI-110280 Digital Services: Business Models and Transformation 4,5 CR Satzger T-WIWI-107043 Liberalised Power Markets 3 CR Fichtner T-WIWI-106200 Modeling and OR-Software: Advanced Topics 4,5 CR Nickel T-WIWI-106563 Practical Seminar Digital Service Systems 4,5 CR Mädche, Satzger

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO), whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal

Competence Goal Students

• understand the basics of the management of digital services applied on an industrial context • gain an industry-specific insight into the importance and most relevant characteristics of information systems as key components of the digitalization of business processes, products and services • are able to transfer and apply the models and methods introduced on practical scenarios and simulations. • understand the control and optimization methods in the sector of service management and are able to apply them properly.

Prerequisites This module can only be assigned as an elective module.

Content This module aims at deepening the fundamental knowledge of digital service management in the industrial context. Various mechanisms and methods to shape and control connected digital service systems in different industries are discussed and demonstrated with real life application cases.

Recommendation None

Annotation This module is part of the KSRI teaching profile “Digital Service Systems”. Further information on a service-specific profiling is available under www.ksri.kit.edu/teaching

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 53 Module Handbook as of 30/09/2021 6 MODULES Module: Digitalization in Facility Management [M-BGU-105592]

M 6.26 Module: Digitalization in Facility Management [M-BGU-105592]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms German 4 1

Mandatory T-BGU-108941 Digitalization in Facility and Real Estate Management 6 CR Lennerts Election block: Compulsory Elective (at most 2 items as well as at least 3 credits) T-BGU-111211 Energetic Refurbishment 1,5 CR Lennerts, Schneider T-BGU-111212 Facility and Real Estate Management II 1,5 CR Lennerts T-BGU-111210 Turnkey Construction II 3 CR Haghsheno

Competence Certificate - 'Teilleistung' T-BGU-108941 with examination of other type according to § 4 Par. 2 No. 3 according to selected course: - 'Teilleistung' T-BGU-111211 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-111212 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-111210 with oral examination according to § 4 Par. 2 No. 2 details about the learning controls see at the respective 'Teilleistung'

Competence Goal see German version

Module grade calculation grade of the module is CP weighted average of grades of the partial exams

Prerequisites none

Content see German version

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 54 Module Handbook as of 30/09/2021 6 MODULES Module: Digitalization in Facility Management [M-BGU-105592]

Workload contact hours (1 HpW = 1 h x 15 weeks):

• Digitalization in Facility and Real Estate Management lecture/exercise: 60 h

according to selected courses or examinations respectively:

• Energetic Refurbishment II lecture: 15 h • Facility and Real Estate Management II lecture: 15 h • Turnkey Construction II lecture/exercise: 30 h independent study:

• preparation and follow-up lecture/exercises Digitalization in Facility and Real Estate Management: 40 h • preparation of project Digitalization in Facility and Real Estate Management, incl. report and presentation (partial examination): 80 h

according to selected courses or examinations respectively:

• preparation and follow-up lectures Energetic Refurbishment II: 15 h • examination preparation Energetic Refurbishment II (partial exam): 15 h • preparation and follow-up lectures Facility and Real Estate Management II: 15 h • examination preparation Facility and Real Estate Management II (partial exam): 15 h • preparation and follow-up lecture/exercises Turnkey Construction II: 30 h • examination preparation Turnkey Construction II (partial exam): 30 h total: 270 h

Industrial Engineering and Management M.Sc. 55 Module Handbook as of 30/09/2021 6 MODULES Module: Econometrics and Statistics I [M-WIWI-101638]

M 6.27 Module: Econometrics and Statistics I [M-WIWI-101638]

Responsible: Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics) Compulsory Elective Modules (Statistics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 5

Mandatory T-WIWI-111388 Applied Econometrics 4,5 CR Schienle Election block: Supplementary Courses (between 4,5 and 5 credits) T-WIWI-103064 Financial Econometrics 4,5 CR Schienle T-WIWI-103126 Non- and Semiparametrics 4,5 CR Schienle T-WIWI-103127 Panel Data 4,5 CR Heller T-WIWI-110868 Predictive Modeling 4,5 CR Krüger T-WIWI-111387 Probabilistic Time Series Forecasting Challenge 4,5 CR Krüger T-WIWI-103065 Statistical Modeling of Generalized Regression Models 4,5 CR Heller T-WIWI-110939 Financial Econometrics II 4,5 CR Schienle

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student shows an in depth understanding of advanced Econometric techniques suitable for different types of data.He/She is able to apply his/her theoretical knowledge to real world problems with the help of statistical software and to evaluate performance of different approaches based on statistical criteria.

Prerequisites The course "Advanced Statistics" [2520020] is compulsory and must be examined.

Content The courses of this module offer students a broad range of advanced Econometric techniques for state-of-the art data analysis.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 56 Module Handbook as of 30/09/2021 6 MODULES Module: Econometrics and Statistics II [M-WIWI-101639]

M 6.28 Module: Econometrics and Statistics II [M-WIWI-101639]

Responsible: Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (Statistics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 4

Election block: Compulsory Elective Courses (between 9 and 10 credits) T-WIWI-103064 Financial Econometrics 4,5 CR Schienle T-WIWI-103124 Multivariate Statistical Methods 4,5 CR Grothe T-WIWI-103126 Non- and Semiparametrics 4,5 CR Schienle T-WIWI-103127 Panel Data 4,5 CR Heller T-WIWI-103128 Portfolio and Asset Liability Management 4,5 CR Safarian T-WIWI-110868 Predictive Modeling 4,5 CR Krüger T-WIWI-111387 Probabilistic Time Series Forecasting Challenge 4,5 CR Krüger T-WIWI-103065 Statistical Modeling of Generalized Regression Models 4,5 CR Heller T-WIWI-103129 Stochastic Calculus and Finance 4,5 CR Safarian T-WIWI-110939 Financial Econometrics II 4,5 CR Schienle

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student shows an in depth understanding of advanced Econometric techniques suitable for different types of data. He/She is able to apply his/her theoretical knowledge to real world problems with the help of statistical software and to evaluate performance of different approaches based on statistical criteria.

Prerequisites This module can only be passed if the module "Econometrics and Statistics I" has been finished successfully before.

Content This modula builds on prerequisites acquired in Module"Econometrics and Statistics I". The courses of this module offer students a broad range of advanced Econometric techniques for state-of-the art data analysis.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 57 Module Handbook as of 30/09/2021 6 MODULES Module: Economic Theory and its Application in Finance [M-WIWI-101502]

M 6.29 Module: Economic Theory and its Application in Finance [M-WIWI-101502]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Election block: Compulsory Elective Courses (1 item) T-WIWI-102609 Advanced Topics in Economic Theory 4,5 CR Mitusch T-WIWI-102861 Advanced Game Theory 4,5 CR Ehrhart, Puppe, Reiß Election block: Supplementary Courses (1 item) T-WIWI-102647 Asset Pricing 4,5 CR Ruckes, Uhrig- Homburg T-WIWI-102622 Corporate Financial Policy 4,5 CR Ruckes T-WIWI-109050 Corporate Risk Management 4,5 CR Ruckes T-WIWI-102623 Financial Intermediation 4,5 CR Ruckes

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The exams are offered at the beginning of the recess period about the subject matter of the latest held lecture. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately. The overall grade for the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students

• have learnt the methods of formal economic modeling, particularly of General Equilibrium Theory and contract theory • will be able to apply these methods to the topics in Finance, specifically the areas of financial markets and institutions and corporate finance • have gained many useful insights into the relationship between firms and investors and the functioning of financial markets

Prerequisites One of the courses T-WIWI-102861 "Advanced Game Theory" and T-WIWI-102609 "Advanced Topics in Economic Theory" is compulsary.

Content The mandatory course "Advanced Topics in Economic Theory" is devoted in equal parts to General Equilibrium Theory and to contract theory. The course "Asset Pricing" will apply techniques of General Equilibrium Theory to valuation of financial assets. The courses "Corporate Financial Policy" and "Finanzintermediation" will apply the techniques of contract theory to issues of corporate finance and financial institutions.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 58 Module Handbook as of 30/09/2021 6 MODULES Module: eEnergy: Markets, Services and Systems [M-WIWI-103720]

M 6.30 Module: eEnergy: Markets, Services and Systems [M-WIWI-103720]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 1

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-107501 Energy Market Engineering 4,5 CR Weinhardt T-WIWI-107503 Energy Networks and Regulation 4,5 CR Weinhardt T-WIWI-107504 Smart Grid Applications 4,5 CR Weinhardt T-WIWI-109940 Special Topics in Information Systems 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• is aware of design options for energy and especially electricity markets and can derive implications for the market results from the market design, • knows about current trends regarding the Smart Grid and understands affiliated modelling aproaches, • can evaluate business models of electricity grids according to the regulation regime • is prepared for scientific contributions in the field of energy system analysis.

Prerequisites None.

Content The module conveys scientific and practical knowledge to analyse energy markets and according business models. To do so the scientific discussion on energy market designs is evaluated and analysed. Different energy market models are presented and their design implications are evaluated. Furthermore, the electricity system is analysed with regards to being a network industry and resulting regulation and business models are discussed. Besides these traditional areas of energy economics we will look at methods and models of digitalisation in the energy sector.

Annotation The lecture Smart Grid Applications will be available starting in the winter term 2018/19.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 59 Module Handbook as of 30/09/2021 6 MODULES Module: Electives in Informatics [M-WIWI-101630]

M 6.31 Module: Electives in Informatics [M-WIWI-101630]

Responsible: Michael Färber Prof. Dr. Andreas Oberweis Prof. Dr. Harald Sack Prof. Dr. Ali Sunyaev Prof. Dr. Melanie Volkamer Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (Informatics)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 1 term 4 14

Election block: Compulsory Elective Area () T-WIWI-110339 Applied Informatics – Principles of Internet Computing: Foundations 4,5 CR Sunyaev for Emerging Technologies and Future Services T-WIWI-102680 Computational Economics 4,5 CR Shukla T-WIWI-109248 Critical Information Infrastructures 4,5 CR Sunyaev T-WIWI-109246 Digital Health 4,5 CR Sunyaev T-WIWI-109270 Human Factors in Security and Privacy 4,5 CR Volkamer T-WIWI-102661 Database Systems and XML 4,5 CR Oberweis T-WIWI-110346 Supplement Enterprise Information Systems 4,5 CR Oberweis T-WIWI-110372 Supplement Software- and Systemsengineering 4,5 CR Oberweis T-WIWI-106423 Information Service Engineering 4,5 CR Sack T-WIWI-102666 Knowledge Discovery 4,5 CR Färber T-WIWI-102667 Management of IT-Projects 4,5 CR Schätzle T-WIWI-106340 Machine Learning 1 - Basic Methods 4,5 CR Zöllner T-WIWI-106341 Machine Learning 2 – Advanced Methods 4,5 CR Zöllner T-WIWI-102697 Business Process Modelling 4,5 CR Oberweis T-WIWI-102679 Nature-Inspired Optimization Methods 4,5 CR Shukla T-WIWI-109799 Process Mining 4,5 CR Oberweis T-WIWI-110848 Semantic Web Technologies 4,5 CR Käfer T-WIWI-102895 Software Quality Management 4,5 CR Oberweis T-WIWI-103112 Web Science 4,5 CR Färber Election block: Seminars and Advanced Labs () T-WIWI-110144 Emerging Trends in Digital Health 4,5 CR Sunyaev T-WIWI-110143 Emerging Trends in Internet Technologies 4,5 CR Sunyaev T-WIWI-109249 Sociotechnical Information Systems Development 4,5 CR Sunyaev T-WIWI-111126 Advanced Lab Blockchain Hackathon (Master) 4,5 CR Sunyaev T-WIWI-111125 Advanced Lab Sociotechnical Information Systems Development 4,5 CR Sunyaev (Master) T-WIWI-110548 Advanced Lab Informatics (Master) 4,5 CR Professorenschaft des Instituts AIFB T-WIWI-108439 Advanced Lab Security, Usability and Society 4,5 CR Volkamer T-WIWI-109786 Advanced Lab Security 4,5 CR Volkamer T-WIWI-109985 Project Lab Cognitive Automobiles and Robots 4,5 CR Zöllner T-WIWI-109983 Project Lab Machine Learning 4,5 CR Zöllner T-WIWI-109251 Selected Issues in Critical Information Infrastructures 4,5 CR Sunyaev

Industrial Engineering and Management M.Sc. 60 Module Handbook as of 30/09/2021 6 MODULES Module: Electives in Informatics [M-WIWI-101630]

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. For passing the module exam in every singled partial exam the respective minimum requirements has to be achieved. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately. When every singled examination is passed, the overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• has the ability to master methods and tools in a complex discipline and to demonstrate innovativeness regarding the methods used, • knows the principles and methods in the context of their application in practice, • is able to grasp and apply the rapid developments in the field of computer science, which are encountered in work life, quickly and correctly, based on a fundamental understanding of the concepts and methods of computer science, • is capable of finding and defending arguments for solving problems.

Prerequisites None.

Content The thematic focus will be based on the choice of courses in the areas of Effiziente Algorithmen, Betriebliche Informations- und Kommunikationssysteme, Wissensmanagement, Komplexitätsmanagement and Software- und Systems Engineering.

Annotation Detailed information on the recognition of examinations in the field of Informatics can be found at http://www.aifb.kit.edu/web/ Auslandsaufenthalt.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 61 Module Handbook as of 30/09/2021 6 MODULES Module: Electronic Markets [M-WIWI-101409]

M 6.32 Module: Electronic Markets [M-WIWI-101409]

Responsible: Prof. Dr. Andreas Geyer-Schulz Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 6

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-108880 Blockchains & Cryptofinance 4,5 CR Schuster, Uhrig- Homburg T-WIWI-102762 Business Dynamics 4,5 CR Geyer-Schulz, Glenn T-WIWI-102640 Market Engineering: Information in Institutions 4,5 CR Weinhardt T-WIWI-105946 Price Management 4,5 CR Geyer-Schulz, Glenn T-WIWI-102713 Telecommunication and Internet Economics 4,5 CR Mitusch

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• knows coordination and motivation methods and analyzes them regarding their efficiency, • classifies markets and describes the roles of the participants in a formal way, • knows the conditions for market failure and knows and develops countermeasures, • knows institutions and market mechanisms, their fundamental theories and empirical research results, • knows the design criteria of market mechanisms and a systematical approach for creating new markets, • models, analyzes and optimizes the structure and dynamics of complex business applications.

Prerequisites None

Content What are the conditions that make electronic markets develop and how can one analyse and optimize such markets? In this module, the selection of the type of organization as an optimization of transaction costs is treated. Afterwards, the efficiency of electronic markets (price, information and allocation efficiency) as well as reasons for market failure are described. Finally, motivational issues llike bounded rationality and information assymetries (private information and moral hazard), as well as the development of incentive schemes, are presented. Regarding the market design, especially the interdependencies of market organization, market mechanisms, institutions and products are described and theoretical foundations are lectured. Electronic markets are dynamic systems that are characterized by feedback loops between many different variables. By means of the tools of business dynamics such markets can be modelled. Simulations of complex systems allow the analysis and optimization of markets, business processes, policies, and organizations. Topics include:

• classification, analysis, and design of markets • simulation of markets • auction methods and auction theory • automated negotiations • nonlinear pricing • continuous double auctions • market-maker, regulation, control

Recommendation None

Industrial Engineering and Management M.Sc. 62 Module Handbook as of 30/09/2021 6 MODULES Module: Electronic Markets [M-WIWI-101409]

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 63 Module Handbook as of 30/09/2021 6 MODULES Module: Emphasis in Informatics [M-WIWI-101628]

M 6.33 Module: Emphasis in Informatics [M-WIWI-101628]

Responsible: Michael Färber Prof. Dr. Andreas Oberweis Prof. Dr. Harald Sack Prof. Dr. Ali Sunyaev Prof. Dr. Melanie Volkamer Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (Informatics)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 1 term 4 14

Election block: Compulsory Elective Area (between 1 and 3 items) T-WIWI-110339 Applied Informatics – Principles of Internet Computing: Foundations 4,5 CR Sunyaev for Emerging Technologies and Future Services T-WIWI-102680 Computational Economics 4,5 CR Shukla T-WIWI-109248 Critical Information Infrastructures 4,5 CR Sunyaev T-WIWI-109246 Digital Health 4,5 CR Sunyaev T-WIWI-109270 Human Factors in Security and Privacy 4,5 CR Volkamer T-WIWI-102661 Database Systems and XML 4,5 CR Oberweis T-WIWI-110346 Supplement Enterprise Information Systems 4,5 CR Oberweis T-WIWI-110372 Supplement Software- and Systemsengineering 4,5 CR Oberweis T-WIWI-106423 Information Service Engineering 4,5 CR Sack T-WIWI-102666 Knowledge Discovery 4,5 CR Färber T-WIWI-102667 Management of IT-Projects 4,5 CR Schätzle T-WIWI-106340 Machine Learning 1 - Basic Methods 4,5 CR Zöllner T-WIWI-106341 Machine Learning 2 – Advanced Methods 4,5 CR Zöllner T-WIWI-102697 Business Process Modelling 4,5 CR Oberweis T-WIWI-102679 Nature-Inspired Optimization Methods 4,5 CR Shukla T-WIWI-109799 Process Mining 4,5 CR Oberweis T-WIWI-110848 Semantic Web Technologies 4,5 CR Käfer T-WIWI-102895 Software Quality Management 4,5 CR Oberweis T-WIWI-103112 Web Science 4,5 CR Färber Election block: Seminars and Advanced Labs () T-WIWI-110144 Emerging Trends in Digital Health 4,5 CR Sunyaev T-WIWI-110143 Emerging Trends in Internet Technologies 4,5 CR Sunyaev T-WIWI-109249 Sociotechnical Information Systems Development 4,5 CR Sunyaev T-WIWI-111126 Advanced Lab Blockchain Hackathon (Master) 4,5 CR Sunyaev T-WIWI-111125 Advanced Lab Sociotechnical Information Systems Development 4,5 CR Sunyaev (Master) T-WIWI-110548 Advanced Lab Informatics (Master) 4,5 CR Professorenschaft des Instituts AIFB T-WIWI-108439 Advanced Lab Security, Usability and Society 4,5 CR Volkamer T-WIWI-109786 Advanced Lab Security 4,5 CR Volkamer T-WIWI-109985 Project Lab Cognitive Automobiles and Robots 4,5 CR Zöllner T-WIWI-109983 Project Lab Machine Learning 4,5 CR Zöllner T-WIWI-109251 Selected Issues in Critical Information Infrastructures 4,5 CR Sunyaev

Industrial Engineering and Management M.Sc. 64 Module Handbook as of 30/09/2021 6 MODULES Module: Emphasis in Informatics [M-WIWI-101628]

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. For passing the module exam in every singled partial exam the respective minimum requirements has to be achieved. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately. When every singled examination is passed, the overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• has the ability to master methods and tools in a complex discipline and to demonstrate innovativeness regarding the methods used, • knows the principles and methods in the context of their application in practice, • is able to grasp and apply the rapid developments in the field of computer science, which are encountered in work life, quickly and correctly, based on a fundamental understanding of the concepts and methods of computer science, • is capable of finding and defending arguments for solving problems.

Prerequisites None.

Content The thematic focus will be based on the choice of courses in the areas of Effiziente Algorithmen, Betriebliche Informations- und Kommunikationssysteme, Wissensmanagement, Komplexitätsmanagement and Software- und Systems Engineering.

Annotation Detailed information on the recognition of examinations in the field of Informatics can be found at http://www.aifb.kit.edu/web/ Auslandsaufenthalt.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 65 Module Handbook as of 30/09/2021 6 MODULES Module: Energy and Process Technology I [M-MACH-101296]

M 6.34 Module: Energy and Process Technology I [M-MACH-101296]

Responsible: Prof. Dr. Ulrich Maas Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each winter term 1 term 4 1

Mandatory T-MACH-102211 Energy and Process Technology I 9 CR Bauer, Maas, Schwitzke, Velji

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 13 SPO) of the courses of this module, whose sum of credits must meet the requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal In this modul students achieve a basic understanding of the technical properties of energy conversion processes and machines.

Prerequisites None

Content Energy and Process Technology 1: 1. thermodynamic basics and cycle processes (ITT) 2. basics of piston engines (IFKM) 3. basics of turbomachines (FSM) 4. basics of thermal turbomachines (ITS)

Annotation All lectures and exams are hold in German only.

Industrial Engineering and Management M.Sc. 66 Module Handbook as of 30/09/2021 6 MODULES Module: Energy and Process Technology II [M-MACH-101297]

M 6.35 Module: Energy and Process Technology II [M-MACH-101297]

Responsible: Prof. Dr. Ulrich Maas Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each summer term 1 term 4 1

Mandatory T-MACH-102212 Energy and Process Technology II 9 CR Maas, Schwitzke

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 13 SPO) of the courses of this module, whose sum of credits must meet the requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal In this modul students achieve the ability to evaluate solitary and interconnected energy systems with respect to societal and economical aspects

Prerequisites None

Content Energy and Process Technology 2: 1. basics in combustion and pollutant formation (ITT) 2. technical realisation and application of piston engines (IFKM) fluid flow engines (FSM) and thermal turbomachines (ITS) 3. technical aspects of energy supply systems and networks (ITS)

Annotation All lectures and exams are hold in German only.

Industrial Engineering and Management M.Sc. 67 Module Handbook as of 30/09/2021 6 MODULES Module: Energy Economics and Energy Markets [M-WIWI-101451]

M 6.36 Module: Energy Economics and Energy Markets [M-WIWI-101451]

Responsible: Prof. Dr. Wolf Fichtner Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 7

Mandatory T-WIWI-107043 Liberalised Power Markets 3 CR Fichtner Election block: Supplementary Courses (at least 6 credits) T-WIWI-102691 Energy Trade and Risk Management 3 CR N.N. T-WIWI-107501 Energy Market Engineering 4,5 CR Weinhardt T-WIWI-108016 Simulation Game in Energy Economics 3 CR Genoese T-WIWI-107446 Quantitative Methods in Energy Economics 3 CR Plötz T-WIWI-102712 Regulation Theory and Practice 4,5 CR Mitusch

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations take place every semester. Re-examinations are offered at every ordinary examination date.The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• gains detailed knowledge about the new requirements of liberalised energy markets, • describes the planning tasks on the different energy markets, • knows solution approaches to respective planning tasks.

Prerequisites The lecture Liberalised Power Markets has to be examined.

Content Liberalised Power Markets: The European liberalisation process, energy markets, pricing, market failure, investment incentives, market power Energy Trade and Risk Management: trade centres, trade products, market mechanisms, position and risk management Simulation Game in Energy Economics: Simulation of the German electricity system

Recommendation The courses are conceived in a way that they can be attended independently from each other. Therefore, it is possible to start the module in winter and summer term.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 68 Module Handbook as of 30/09/2021 6 MODULES Module: Energy Economics and Technology [M-WIWI-101452]

M 6.37 Module: Energy Economics and Technology [M-WIWI-101452]

Responsible: Prof. Dr. Wolf Fichtner Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-102793 Efficient Energy Systems and Electric Mobility 3,5 CR Jochem T-WIWI-102650 Energy and Environment 4,5 CR Karl T-WIWI-102830 Energy Systems Analysis 3 CR Ardone, Fichtner T-WIWI-107464 Smart Energy Infrastructure 3 CR Ardone, Pustisek T-WIWI-102695 Heat Economy 3 CR Fichtner

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations take place every semester. Re-examinations are offered at every ordinary examination date.The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• gains detailed knowledge about present and future energy supply technologies (focus on final energy carriers electricity and heat), • knows the techno-economic characteristics of plants for energy provision, for energy transport as well as for energy distribution and demand, • is able to assess the environmental impact of these technologies.

Prerequisites None

Content Heat Economy: district heating, heating technologies, reduction of heat demand, statutory provisions Energy Systems Analysis: Interdependencies in energy economics, energy systems modelling approaches in energy economics Energy and Environment: emission factors, emission reduction measures, environmental impact Efficient Energy Systems and Electric Mobility: concepts and current trends in energy efficiency, Overview of and economical, ecological and social impacts through electric mobility

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 69 Module Handbook as of 30/09/2021 6 MODULES Module: Entrepreneurship (EnTechnon) [M-WIWI-101488]

M 6.38 Module: Entrepreneurship (EnTechnon) [M-WIWI-101488]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German/English 4 10

Election block: Mandatory part (1 item) T-WIWI-102864 Entrepreneurship 3 CR Terzidis Election block: Compulsory Elective Courses (1 item) T-WIWI-102866 Design Thinking 3 CR Terzidis T-WIWI-102894 Entrepreneurship Research 3 CR Terzidis T-WIWI-102833 Entrepreneurial Leadership & Innovation Management 3 CR Terzidis T-WIWI-102865 Business Planning 3 CR Terzidis T-WIWI-110374 Firm creation in IT security 3 CR Terzidis T-WIWI-110985 International Business Development and Sales 6 CR Casenave , Klarmann, Terzidis T-WIWI-109064 Joint Entrepreneurship Summer School 6 CR Terzidis T-WIWI-111561 Startup Experience 6 CR Terzidis Election block: Supplementary Courses (1 item) T-WIWI-102866 Design Thinking 3 CR Terzidis T-WIWI-102833 Entrepreneurial Leadership & Innovation Management 3 CR Terzidis T-WIWI-102894 Entrepreneurship Research 3 CR Terzidis T-WIWI-102852 Case Studies Seminar: Innovation Management 3 CR Weissenberger-Eibl T-WIWI-102639 Business Models in the Internet: Planning and Implementation 4,5 CR Weinhardt T-WIWI-102865 Business Planning 3 CR Terzidis T-WIWI-110374 Firm creation in IT security 3 CR Terzidis T-WIWI-102893 Innovation Management: Concepts, Strategies and Methods 3 CR Weissenberger-Eibl T-WIWI-110985 International Business Development and Sales 6 CR Casenave , Klarmann, Terzidis T-WIWI-109064 Joint Entrepreneurship Summer School 6 CR Terzidis T-WIWI-102612 Managing New Technologies 3 CR Reiß T-WIWI-102853 Roadmapping 3 CR Koch T-WIWI-111561 Startup Experience 6 CR Terzidis

Competence Certificate See German version.

Competence Goal Students are familiar with the basics and contents of entrepreneurship and ideally are able to start a company during or after their studies. The courses are therefore structured sequentially in modules, although in principle they can also be attended in parallel. In this way, the skills are taught to generate business ideas, to develop inventions into innovations, to write business plans for start- ups and to successfully establish a company. In the lecture, the basics of entrepreneurship will be developed, in the seminars, individual contents will be deepened. The overall learning objective is to enable students to develop and implement business ideas.

Prerequisites None

Industrial Engineering and Management M.Sc. 70 Module Handbook as of 30/09/2021 6 MODULES Module: Entrepreneurship (EnTechnon) [M-WIWI-101488]

Content The lectures form the basis of the module and give an overview of the overall topic. The seminars deepen the phases of the foundation processes, in particular the identification of opportunities, the development of a value proposition (especially based on inventions and technical innovations), the design of a business model, business planning, the management of a start-up, the implementation of a vision as well as the acquisition on resources and the handling of risks. The lecture Entrepreneurship provides an overarching and connecting framework for this.

Recommendation None

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 71 Module Handbook as of 30/09/2021 6 MODULES Module: Environmental Economics [M-WIWI-101468]

M 6.39 Module: Environmental Economics [M-WIWI-101468]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-102650 Energy and Environment 4,5 CR Karl T-WIWI-100007 Transport Economics 4,5 CR Mitusch, Szimba T-WIWI-102615 Environmental Economics and Sustainability 3 CR Walz T-WIWI-102616 Environmental and Resource Policy 4 CR Walz T-BGU-111102 Environmental Law 3 CR

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The exams are offered at the beginning of the recess period about the subject matter of the latest held lecture. Re-examinations are offerd at every ordinary examination date. The assessment procedures are described for each course of the module seperately. The overall grade for the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students

• understand the treatment of non-market resources as well as future resource shortages • are able to model markets of energy and environmental goods • are able to assess the results of government intervention • know legal basics and are able to evaluate conflicts with regard to legal situation

Prerequisites None

Content Environmental degradation and increasing resource use are global challenges, which have to be tackled on a worldwide level. The module addresses these challenges from the perspective of economics, and imparts the fundamental knowledge of environmental and sustainability economics, and environmental and resource policy to the students. Additional courses address environmental law, environmental pressure, and applications to the transport sector.

Recommendation Knowledge in the area of microeconomics and of the content of the courseEconomics I: Microeconomics[2600012], respectively, is required.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 72 Module Handbook as of 30/09/2021 6 MODULES Module: Experimental Economics [M-WIWI-101505]

M 6.40 Module: Experimental Economics [M-WIWI-101505]

Responsible: Prof. Dr. Johannes Philipp Reiß Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Election block: Compulsory Elective Courses (2 items) T-WIWI-102614 Experimental Economics 4,5 CR Weinhardt T-WIWI-105781 Incentives in Organizations 4,5 CR Nieken T-WIWI-102862 Predictive Mechanism and Market Design 4,5 CR Reiß T-WIWI-102863 Topics in Experimental Economics 4,5 CR Reiß

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• are acquainted with the methods of Experimental Economics along with its strengths and weaknesses; • understand how theory-guided research in Experimental Economics interacts with the development of theory; • are provided with foundations in data analysis; • design an economic experiment and analyze its outcome.

Prerequisites None.

Content The module Experimental Economics offers an introduction into the methods and topics of Experimental Economics. It also fosters and extends knowledge in theory-guided experimental economics and its interaction with theory development. Throughout the module, readings of selected papers are required.

Recommendation Basic knowledge in mathematics, statistics, and game theory is assumed.

Annotation The course "Predictive Mechanism and Market Design" is offered every second winter semester, e.g. WS2013 / 14, WS2015 / 16, ...

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 73 Module Handbook as of 30/09/2021 6 MODULES Module: Extracurricular Module in Engineering [M-WIWI-101404]

M 6.41 Module: Extracurricular Module in Engineering [M-WIWI-101404]

Responsible: Prüfungsausschuss der KIT-Fakultät für Wirtschaftswissenschaften Organisation: KIT Department of Economics and Management Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Once 1 term 4 5

Election block: Compulsory Elective Courses (between 9 and 12 credits) T-WIWI-106291 PH APL-ING-TL01 3 CR T-WIWI-106292 PH APL-ING-TL02 3 CR T-WIWI-106293 PH APL-ING-TL03 3 CR T-WIWI-106294 PH APL-ING-TL04 ub 0 CR T-WIWI-106295 PH APL-ING-TL05 ub 0 CR T-WIWI-106296 PH APL-ING-TL06 ub 0 CR T-WIWI-108384 PH APL-ING-TL07 3 CR

Competence Certificate The assessment of the module is determined by the respective module corrdinator. It can either be in the form of a general exam or partial exams, and must contain at least 9 credit points (max. 12 credits) and at least 6 hours per week (max. 8 hours per week). The examination may contain presentations, experiments, laboratories, term papers, etc. At least 50 percent of the module examination has to be in the form of a written or an oral examination (according to Section 4 (2), 1 or 2 of the examination regulation).

The formation of the overall grade of the module will be determined by the respective module coordinator.

Competence Goal See German version.

Prerequisites The intended composition of courses, the module designation and the details of the examination for an Extracurricular Module in Engineering must be confirmed by a module coordinator (professor) of the responsible engineering department. The module coordinator makes sure that the individual courses of the module complement each other in a meaningful way and that no random sequence of various individual examinations is combined. The responsible module coordinator certifies that the examination can be taken as described and that the details of the courses in the application are correct. The informal application (not handwritten!) will then be submitted to the Examination Office of the KIT Department of Economics and Management. The examination board of the KIT Department of Economics and Management decides on the basis of the rules and regulations that have been adopted, in particular with regard to the content (see also https://www.wiwi.kit.edu/ Genehmigung_Ingenieurmodul.php_Ingenieurmodul.php) as well as the application form completed by the student and signed by the respective module coordinator. A maximum of one Extracurricular Module in Engineering can be taken.

Workload The total workload for this module is about 270 hours (9 credits). The distribution is based on the credit points of the courses completed as part of the module.

Industrial Engineering and Management M.Sc. 74 Module Handbook as of 30/09/2021 6 MODULES Module: Facility Management in Hospitals [M-BGU-105597]

M 6.42 Module: Facility Management in Hospitals [M-BGU-105597]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms German 4 1

Mandatory T-BGU-108004 Facility Management in Hospitals 4,5 CR Lennerts Election block: Comnpulsory Elective (at most 3 items as well as at least 4,5 credits) T-BGU-111218 Upgrading of Existing Buildings 3 CR Lennerts T-BGU-111211 Energetic Refurbishment 1,5 CR Lennerts, Schneider T-BGU-111212 Facility and Real Estate Management II 1,5 CR Lennerts T-BGU-111217 Project Development with Case Study 1,5 CR Lennerts

Competence Certificate - 'Teilleistung' T-BGU-108004 with examination of other type according to § 4 Par. 2 No. 3 according to selected course: - 'Teilleistung' T-BGU-111218 with written examination according to § 4 Par. 2 No. 1 - 'Teilleistung' T-BGU-111211 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-111212 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-111217 with oral examination according to § 4 Par. 2 No. 2 details about the learning controls see at the respective 'Teilleistung'

Competence Goal see German version

Module grade calculation grade of the module is CP weighted average of grades of the partial exams

Prerequisites none

Content see German version

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 75 Module Handbook as of 30/09/2021 6 MODULES Module: Facility Management in Hospitals [M-BGU-105597]

Workload contact hours (1 HpW = 1 h x 15 weeks):

• Facility Management in Hospitals lecture/exercise: 45 h

according to selected courses or examinations respectively:

• Upgrading of Existing Buildings lecture/exercise: 45 h • Energetic Refurbishment II lecture: 15 h • Facility and Real Estate Management II lecture: 15 h • Project Development with Case Study lecture: 15 h independent study:

• preparation and follow-up lecture/exercises Facility Management in Hospitals: 30 h • preparation of term paper Facility Management in Hospitals (partial exam): 60 h

according to selected courses or examinations respectively:

• preparation and follow-up lecture/exercises Upgrading of Existing Buildings: 15 h • examination preparation Upgrading of Existing Buildings(partial exam): 30 h • preparation and follow-up lectures Energetic Refurbishment II: 15 h • examination preparation Energetic Refurbishment II (partial exam): 15 h • preparation and follow-up lectures Facility and Real Estate Management II: 15 h • examination preparation Facility and Real Estate Management II (partial exam): 15 h • preparation and follow-up lectures Project Development with Case Study: 15 h • examination preparation Project Development with Case Study (partial exam): 15 h total: 270 h

Industrial Engineering and Management M.Sc. 76 Module Handbook as of 30/09/2021 6 MODULES Module: Finance 1 [M-WIWI-101482]

M 6.43 Module: Finance 1 [M-WIWI-101482]

Responsible: Prof. Dr. Martin Ruckes Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 1

Election block: Compulsory Elective Courses (9 credits) T-WIWI-102643 Derivatives 4,5 CR Uhrig-Homburg T-WIWI-102621 Valuation 4,5 CR Ruckes T-WIWI-102647 Asset Pricing 4,5 CR Ruckes, Uhrig- Homburg

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• has core skills in economics and methodology in the field of finance • assesses corporate investment projects from a financial perspective • is able to make appropriate investment decisions on financial markets

Prerequisites None

Content The courses of this module equip the students with core skills in economics and methodology in the field of modern finance. Securities which are traded on financial and derivative markets are presented, and frequently applied trading strategies are discussed. A further focus of this module is on the assessment of both profits and risks in security portfolios and corporate investment projects from a financial perspective.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 77 Module Handbook as of 30/09/2021 6 MODULES Module: Finance 2 [M-WIWI-101483]

M 6.44 Module: Finance 2 [M-WIWI-101483]

Responsible: Prof. Dr. Martin Ruckes Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 6

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-110513 Advanced Empirical Asset Pricing 4,5 CR Thimme T-WIWI-102647 Asset Pricing 4,5 CR Ruckes, Uhrig- Homburg T-WIWI-108880 Blockchains & Cryptofinance 4,5 CR Schuster, Uhrig- Homburg T-WIWI-110995 Bond Markets 4,5 CR Uhrig-Homburg T-WIWI-110997 Bond Markets - Models & Derivatives 3 CR Uhrig-Homburg T-WIWI-110996 Bond Markets - Tools & Applications 1,5 CR Uhrig-Homburg T-WIWI-102622 Corporate Financial Policy 4,5 CR Ruckes T-WIWI-109050 Corporate Risk Management 4,5 CR Ruckes T-WIWI-102643 Derivatives 4,5 CR Uhrig-Homburg T-WIWI-110797 eFinance: Information Systems for Securities Trading 4,5 CR Weinhardt T-WIWI-102644 Fixed Income Securities 4,5 CR Uhrig-Homburg T-WIWI-102900 Financial Analysis 4,5 CR Luedecke T-WIWI-102623 Financial Intermediation 4,5 CR Ruckes T-WIWI-102626 Business Strategies of Banks 3 CR Müller T-WIWI-102646 International Finance 3 CR Uhrig-Homburg T-WIWI-102645 Credit Risk 4,5 CR Uhrig-Homburg T-WIWI-110511 Strategic Finance and Technoloy Change 1,5 CR Ruckes T-WIWI-102621 Valuation 4,5 CR Ruckes T-WIWI-110933 Web App Programming for Finance 4,5 CR Thimme

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student is in a position to discuss, analyze and provide answers to advanced economic and methodological issues in the field of modern finance.

Prerequisites It is only possible to choose this module in combination with the module Finance 1. The module is passed only after the final partial exam of Finance 1 is additionally passed.

Content The module Finance 2 is based on the module Finance 1. The courses of this module equip the students with advanced skills in economics and methodology in the field of modern finance on a broad basis.

Annotation The courses eFinance: Information Engineering and Management for Securities Trading [2540454] and Financial Analysis [2530205] can be chosen from summer term 2015 on.

Industrial Engineering and Management M.Sc. 78 Module Handbook as of 30/09/2021 6 MODULES Module: Finance 2 [M-WIWI-101483]

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 79 Module Handbook as of 30/09/2021 6 MODULES Module: Finance 3 [M-WIWI-101480]

M 6.45 Module: Finance 3 [M-WIWI-101480]

Responsible: Prof. Dr. Martin Ruckes Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 6

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-110513 Advanced Empirical Asset Pricing 4,5 CR Thimme T-WIWI-102647 Asset Pricing 4,5 CR Ruckes, Uhrig- Homburg T-WIWI-108880 Blockchains & Cryptofinance 4,5 CR Schuster, Uhrig- Homburg T-WIWI-110995 Bond Markets 4,5 CR Uhrig-Homburg T-WIWI-110997 Bond Markets - Models & Derivatives 3 CR Uhrig-Homburg T-WIWI-110996 Bond Markets - Tools & Applications 1,5 CR Uhrig-Homburg T-WIWI-102622 Corporate Financial Policy 4,5 CR Ruckes T-WIWI-109050 Corporate Risk Management 4,5 CR Ruckes T-WIWI-102643 Derivatives 4,5 CR Uhrig-Homburg T-WIWI-110797 eFinance: Information Systems for Securities Trading 4,5 CR Weinhardt T-WIWI-102644 Fixed Income Securities 4,5 CR Uhrig-Homburg T-WIWI-102900 Financial Analysis 4,5 CR Luedecke T-WIWI-102623 Financial Intermediation 4,5 CR Ruckes T-WIWI-102626 Business Strategies of Banks 3 CR Müller T-WIWI-102646 International Finance 3 CR Uhrig-Homburg T-WIWI-102645 Credit Risk 4,5 CR Uhrig-Homburg T-WIWI-110511 Strategic Finance and Technoloy Change 1,5 CR Ruckes T-WIWI-102621 Valuation 4,5 CR Ruckes T-WIWI-110933 Web App Programming for Finance 4,5 CR Thimme

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student is in a position to discuss, analyze and provide answers to advanced economic and methodological issues in the field of modern finance.

Prerequisites It is only possible to choose this module in combination with the module Finance 1and Finance 2. The module is passed only after the final partial exams of Finance 1 and Finance 2 are additionally passed.

Content The courses of this module equip the students with advanced skills in economics and methodology in the field of modern finance on a broad basis.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 80 Module Handbook as of 30/09/2021 6 MODULES Module: Fundamentals of Transportation [M-BGU-101064]

M 6.46 Module: Fundamentals of Transportation [M-BGU-101064]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 2 terms German/English 4 4

Election block: Compulsory Examination (between 1 and 2 items as well as between 3 and 6 credits) T-BGU-106609 Characteristics of Transportation Systems 3 CR Vortisch T-BGU-106610 Transportation Systems 3 CR Vortisch Election block: Electives (between 1 and 2 items as well as between 3 and 6 credits) T-BGU-106611 Freight Transport 3 CR Chlond T-BGU-106301 Long-Distance and Air Traffic 3 CR Chlond T-BGU-101005 Tendering, Planning and Financing in Public Transport 3 CR Vortisch T-BGU-100014 Seminar in Transportation 3 CR Chlond, Vortisch T-WIWI-103174 Seminar Mobility Services (Master) 3 CR Satzger, Stryja T-BGU-103425 Mobility Services and New Forms of Mobility 3 CR Kagerbauer T-BGU-103426 Strategic Transport Planning 3 CR Waßmuth T-BGU-106608 Information Management for Public Mobility Services 3 CR Vortisch T-BGU-111057 Sustainability in Mobility Systems 3 CR Kagerbauer

Competence Goal See German version.

Prerequisites None

Recommendation None

Industrial Engineering and Management M.Sc. 81 Module Handbook as of 30/09/2021 6 MODULES Module: Generation and Transmission of Renewable Power [M-ETIT-101164]

M 6.47 Module: Generation and Transmission of Renewable Power [M-ETIT-101164]

Responsible: Dr.-Ing. Bernd Hoferer Prof. Dr.-Ing. Thomas Leibfried Organisation: KIT Department of Electrical Engineering and Information Technology Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 4

Election block: compulsory optional subject (at least 9 credits) T-ETIT-101941 Power Transmission and Power Network Control 5 CR Leibfried T-ETIT-101915 High-Voltage Test Technique 4 CR Badent

Competence Goal The student

• has wide knowledge of electrical power engineering, • is capable to analyse and develop electrical power engineering systems.

Prerequisites The module is passed only after the final partial exam of the module 101163 Hochspannungstechnik [WI4INGETIT6] is additionally passed. Wirtschaftsingenieurwesen Bachelor 2015 The module is passed only after the final partial exam of the module 101163 Hochspannungstechnik [WI4INGETIT6] is additionally passed. Technische Volkswirtschaftslehre Bachelor 2015 The module is passed only after the final partial exam of the module 101163 Hochspannungstechnik [WI4INGETIT6] is additionally passed.

Content The module deals with wide knowledge about the electrical power engineering. This ranges from the electric power equipment networks in terms of function, structure and interpretation on the calculation of electrical power networks to special areas such as the FACTS elements or power transformers.

Industrial Engineering and Management M.Sc. 82 Module Handbook as of 30/09/2021 6 MODULES Module: Global Production and Logistics [M-MACH-101282]

M 6.48 Module: Global Production and Logistics [M-MACH-101282]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Mandatory T-MACH-110991 Global Production 4 CR Lanza T-MACH-111003 Global Logistics 4 CR Furmans T-MACH-110981 Tutorial Global Production 1 CR Lanza

Competence Certificate Oral exams: duration approx. 5 min per credit point Written exams: duration approx. 20 - 25 min per credit point Amount, type and scope of the success control can vary according to the individually choice.

Competence Goal The students

• are able to analyze the main topics of global production and logistics. • can explain the main topics about planning and operations of global supply chains and are able to use simple models for planning. • are capable to name the main topics about planning of global production networks.

Prerequisites None

Content The module Global Production and Logistics provides comprehensive and well-founded basics for the main topics of global production and logistics. The lectures aim to show opportunities and market conditions for global enterprises. Part 1 focuses on economic backgrounds, opportunities and risks of global production. Part 2 focuses on the structure of international logistics, their modeling, design and analysis. The threats in international logistics are discussed in case studies.

Workload The work load is about 270 hours, corresponding to 9 credit points.

Learning type Lectures, seminars, workshops, excursions

Industrial Engineering and Management M.Sc. 83 Module Handbook as of 30/09/2021 6 MODULES Module: Growth and Agglomeration [M-WIWI-101496]

M 6.49 Module: Growth and Agglomeration [M-WIWI-101496]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Election block: Compulsory Elective Courses (9 credits) T-WIWI-109194 Dynamic Macroeconomics 4,5 CR Brumm T-WIWI-103107 Spatial Economics 4,5 CR Ott T-WIWI-111318 Growth and Development 4,5 CR Ott

Competence Certificate The assessment is carried out as partial written exams (see the lectures descriptions). The overall grade for the module is the average of the grades for each course weighted by the credits.

Competence Goal The student

• gains deepened knowledge of micro-based general equilibrium models • understands how based on individual optimizing decisions aggregate phenomena like economic growth or agglomeration (cities / metropolises) result • is able to understand and evaluate the contribution of these phenomena to the development of economic trends • can derive policy recommendations based on theory

Prerequisites None

Content The module includes the contents of the lectures Endogenous Growth Theory [2561503], Spatial Economics [2561260] and International Economic Policy [2560254]. While the first two lectures have a more formal-analytic focus, the third lecture approaches fundamental ideas and problems from the field of international economic policy from a more verbal perspective. The common underlying principle of all three lectures in this module is that, based on different theoretical models, economic policy recommendations are derived.

Recommendation Attendance of the course Introduction Economic Policy [2560280] is recommended. Successful completion of the coursesEconomics I: MicroeconomicsandEconomics II: Macroeconomicsis required.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 84 Module Handbook as of 30/09/2021 6 MODULES Module: Handling Characteristics of Motor Vehicles [M-MACH-101264]

M 6.50 Module: Handling Characteristics of Motor Vehicles [M-MACH-101264]

Responsible: Prof. Dr. Frank Gauterin Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Election block: Vehicle Properties (at least 9 credits) T-MACH-105152 Handling Characteristics of Motor Vehicles I 3 CR Unrau T-MACH-105153 Handling Characteristics of Motor Vehicles II 3 CR Unrau T-MACH-105154 Vehicle Comfort and Acoustics I 3 CR Gauterin T-MACH-105155 Vehicle Comfort and Acoustics II 3 CR Gauterin T-MACH-105156 Vehicle Mechatronics I 3 CR Ammon T-MACH-102156 Project Workshop: Automotive Engineering 4,5 CR Frey, Gauterin, Gießler

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• knows and understands the characteristics of vehicles, owing to the construction and design tokens, • knows and understands especially the factors being relevant for comfort and acoustics • is capable of fundamentally evaluating and rating handling characteristics.

Prerequisites None

Content See courses.

Recommendation Knowledge of the content of the courses Engineering Mechanics I [2161238], Engineering Mechanics II [2162276] and Basics of Automotive Engineering I [2113805], Basics of Automotive Engineering II [2114835] is helpful.

Workload The total work load for this module is about 270 Hours (9 Credits). The partition of the work load is carried out according to the credit points of the courses of the module. The work load for courses with 4.5 credit points is about 135 hours, and for courses with 3 credit points about 90 hours. The total number of hours per course results from the time of visiting the lectures and exercises, as well as from the exam duration and the time that is required to achieve the objectives of the module as an average student with an average performance.

Industrial Engineering and Management M.Sc. 85 Module Handbook as of 30/09/2021 6 MODULES Module: High-Voltage Technology [M-ETIT-101163]

M 6.51 Module: High-Voltage Technology [M-ETIT-101163]

Responsible: Dr.-Ing. Bernd Hoferer Prof. Dr.-Ing. Thomas Leibfried Organisation: KIT Department of Electrical Engineering and Information Technology Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 2 terms 4 2

Mandatory T-ETIT-110266 High-Voltage Technology 6 CR Badent T-ETIT-100723 Electronics and EMC 3 CR Sack

Competence Goal The student

• has wide knowledge of electrical power engineering, • is capable to analyse and develop electrical power engineering systems. • know coupling mechanisms and possible coupling paths for interference signals in electronic circuits and systems, as well as measures for interference suppression and for the functionally reliable construction of such systems.

Industrial Engineering and Management M.Sc. 86 Module Handbook as of 30/09/2021 6 MODULES Module: Highway Engineering [M-BGU-100999]

M 6.52 Module: Highway Engineering [M-BGU-100999]

Responsible: Prof. Dr.-Ing. Ralf Roos Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each summer term 1 term 4 2

Mandatory T-BGU-106300 Infrastructure Management 6 CR Roos T-BGU-101860 Special Topics in Highway Engineering and Environmental Impact 3 CR Roos Assessment

Competence Goal See German version.

Prerequisites The selection of this module excludes the selection of the module "Design, Construction, Operation and Maintenance of Highways" (WI4INGBGU1).

Recommendation None

Annotation None

Workload See German version.

Industrial Engineering and Management M.Sc. 87 Module Handbook as of 30/09/2021 6 MODULES Module: Industrial Production II [M-WIWI-101471]

M 6.53 Module: Industrial Production II [M-WIWI-101471]

Responsible: Prof. Dr. Frank Schultmann Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German/English 4 2

Mandatory T-WIWI-102631 Planning and Management of Industrial Plants 5,5 CR Schultmann Election block: Supplementary Courses (at most 1 item) T-WIWI-102763 Supply Chain Management with Advanced Planning Systems 3,5 CR Bosch, Göbelt T-WIWI-102826 Risk Management in Industrial Supply Networks 3,5 CR Schultmann, Wiens T-WIWI-102828 Supply Chain Management in the Automotive Industry 3,5 CR Heupel, Lang T-WIWI-103134 Project Management 3,5 CR Schultmann Election block: Supplementary Courses (at most 1 item) T-WIWI-102634 Emissions into the Environment 3,5 CR Karl T-WIWI-102882 International Management in Engineering and Production 3,5 CR Sasse T-WIWI-110512 Life Cycle Assessment 3,5 CR Schultmann

Competence Certificate The assessment is carried out as partial exams (according to section 4 (2), 1 SPO) of the core course Planning and Managing of Industrial Plants [2581952] and one further single course of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal

• Students shall be able to describe the tasks of tactical production management with special attention drawn upon industrial plants. • Students shall understand the relevant tasks in plant management (projection, realisation and supervising tools for industrial plants). • Students shall be able to describe the special need of a techno-economic approach to solve problems in the field of tactical production management. • Students shall be proficient in using selected techno-economic methods like investment and cost estimates, plant layout, capacity planning, evaluation principles of production techniques, production systems as well as methods to design and optimize production systems. • Students shall be able to evaluate techno-economical approaches in planning tactical production management with respect to their efficiency, accuracy and relevance for industrial use.

Prerequisites The course Planning and Managing of Industrial Plants [2581952] and at least one additional activity are compulsory and must be examined.

Content

• Planning and Management of Industrial Plants: Basics, circulation flow starting from projecting to techno-economic evaluation, construction and operating up to plant dismantling.

Annotation Apart from the core course the courses offered are recommendations and can be replaced by courses from the Module Industrial Production III.

Industrial Engineering and Management M.Sc. 88 Module Handbook as of 30/09/2021 6 MODULES Module: Industrial Production II [M-WIWI-101471]

Workload Total effort will account to 270 hours (9 credit points) and can be allocated according to the credit point rating. Therefore, a course with 3.5 credits requires an effort of approximately 105h and a course with 5.5 credits 165h. The total effort for each course consists of attending lectures and tutorials, examination times and the time an average student needs to prepare himself in order to pass the exam with an average grade.

Industrial Engineering and Management M.Sc. 89 Module Handbook as of 30/09/2021 6 MODULES Module: Industrial Production III [M-WIWI-101412]

M 6.54 Module: Industrial Production III [M-WIWI-101412]

Responsible: Prof. Dr. Frank Schultmann Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 1 term German/English 4 2

Mandatory T-WIWI-102632 Production and Logistics Management 5,5 CR Glöser-Chahoud, Schultmann Election block: Supplementary Courses from Module Industrial Production II (at most 1 item) T-WIWI-102634 Emissions into the Environment 3,5 CR Karl T-WIWI-102882 International Management in Engineering and Production 3,5 CR Sasse T-WIWI-110512 Life Cycle Assessment 3,5 CR Schultmann Election block: Supplementary Courses (at most 1 item) T-WIWI-102763 Supply Chain Management with Advanced Planning Systems 3,5 CR Bosch, Göbelt T-WIWI-102826 Risk Management in Industrial Supply Networks 3,5 CR Schultmann, Wiens T-WIWI-102828 Supply Chain Management in the Automotive Industry 3,5 CR Heupel, Lang T-WIWI-103134 Project Management 3,5 CR Schultmann

Competence Certificate The assessment is carried out as partial exams (according to section 4 (2), 1 SPO) of the core course Production and Logistics Management [2581954] and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal

• Students describe the tasks concerning general problems of an operative production and logistics management. • Students describe the planning tasks of supply chain management. • Students use proficiently approaches to solve general planning problems. • Students explain the existing interdependencies between planning tasks and applied methods. • Students describe the mail goals and set-up of software supporting tools in production and logistics management (i.e. APS, PPS-, ERP- and SCM Systems). • Students discuss the scope of these software tools and their general disadvantages.

Prerequisites The course Production and Logistics Management [2581954] and at least one additional activity are compulsory and must be examined.

Content

• Planning tasks and exemplary methods of production planning and control in supply chain management. • Supporting software tools in production and logistics management (APS, PPS- and ERP Systems). • Project management in the field of production and supply chain management.

Annotation Apart from the core course the courses offered are recommendations and can be replaced by courses from the Module Industrial Production II.

Industrial Engineering and Management M.Sc. 90 Module Handbook as of 30/09/2021 6 MODULES Module: Industrial Production III [M-WIWI-101412]

Workload The total amount of work for this module is approx. 270 hours (9 credits). The allocation is made according to the credit points of the courses of the module. The total number of hours per course results from the effort required to attend the lectures and exercises, as well as the examination times and the time required to achieve the learning objectives of the module for an average student for an average performance.

Industrial Engineering and Management M.Sc. 91 Module Handbook as of 30/09/2021 6 MODULES Module: Informatics [M-WIWI-101472]

M 6.55 Module: Informatics [M-WIWI-101472]

Responsible: Michael Färber Prof. Dr. Andreas Oberweis Prof. Dr. Harald Sack Prof. Dr. Ali Sunyaev Prof. Dr. Melanie Volkamer Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: Informatics

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 1 term 4 14

Election block: Compulsory Elective Area () T-WIWI-110339 Applied Informatics – Principles of Internet Computing: Foundations 4,5 CR Sunyaev for Emerging Technologies and Future Services T-WIWI-102680 Computational Economics 4,5 CR Shukla T-WIWI-109248 Critical Information Infrastructures 4,5 CR Sunyaev T-WIWI-109246 Digital Health 4,5 CR Sunyaev T-WIWI-109270 Human Factors in Security and Privacy 4,5 CR Volkamer T-WIWI-102661 Database Systems and XML 4,5 CR Oberweis T-WIWI-110346 Supplement Enterprise Information Systems 4,5 CR Oberweis T-WIWI-110372 Supplement Software- and Systemsengineering 4,5 CR Oberweis T-WIWI-106423 Information Service Engineering 4,5 CR Sack T-WIWI-102666 Knowledge Discovery 4,5 CR Färber T-WIWI-102667 Management of IT-Projects 4,5 CR Schätzle T-WIWI-106340 Machine Learning 1 - Basic Methods 4,5 CR Zöllner T-WIWI-106341 Machine Learning 2 – Advanced Methods 4,5 CR Zöllner T-WIWI-102697 Business Process Modelling 4,5 CR Oberweis T-WIWI-102679 Nature-Inspired Optimization Methods 4,5 CR Shukla T-WIWI-109799 Process Mining 4,5 CR Oberweis T-WIWI-110848 Semantic Web Technologies 4,5 CR Käfer T-WIWI-102895 Software Quality Management 4,5 CR Oberweis T-WIWI-103112 Web Science 4,5 CR Färber Election block: Seminars and Advanced Labs (between 0 and 1 items) T-WIWI-110144 Emerging Trends in Digital Health 4,5 CR Sunyaev T-WIWI-110143 Emerging Trends in Internet Technologies 4,5 CR Sunyaev T-WIWI-109249 Sociotechnical Information Systems Development 4,5 CR Sunyaev T-WIWI-111126 Advanced Lab Blockchain Hackathon (Master) 4,5 CR Sunyaev T-WIWI-111125 Advanced Lab Sociotechnical Information Systems Development 4,5 CR Sunyaev (Master) T-WIWI-110548 Advanced Lab Informatics (Master) 4,5 CR Professorenschaft des Instituts AIFB T-WIWI-108439 Advanced Lab Security, Usability and Society 4,5 CR Volkamer T-WIWI-109786 Advanced Lab Security 4,5 CR Volkamer T-WIWI-109985 Project Lab Cognitive Automobiles and Robots 4,5 CR Zöllner T-WIWI-109983 Project Lab Machine Learning 4,5 CR Zöllner T-WIWI-109251 Selected Issues in Critical Information Infrastructures 4,5 CR Sunyaev

Industrial Engineering and Management M.Sc. 92 Module Handbook as of 30/09/2021 6 MODULES Module: Informatics [M-WIWI-101472]

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. For passing the module exam in every singled partial exam the respective minimum requirements has to be achieved. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately. When every singled examination is passed, the overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal. Please note the following information about the module component exams of Prof. Dr. H. Schmeck: The examinations in Algorithms for Internet Applications [T-WIWI-102658], Efficient Algorithms [T-WIWI-102655], Organic Computing [T-WIWI-102659] and Smart Energy Distribution [T-WIWI-102845] are offered latest until summer term 2017 (repeaters only).

Competence Goal The student

• has the ability to master methods and tools in a complex discipline and to demonstrate innovativeness regarding the methods used, • knows the principles and methods in the context of their application in practice, • is able to grasp and apply the rapid developments in the field of computer science, which are encountered in work life, quickly and correctly, based on a fundamental understanding of the concepts and methods of computer science, • is capable of finding and defending arguments for solving problems.

Prerequisites It is only allowed to choose one lab.

Content The thematic focus will be based on the choice of courses in the areas of Effiziente Algorithmen, Betriebliche Informations- und Kommunikationssysteme, Wissensmanagement, Komplexitätsmanagement and Software- und Systems Engineering.

Annotation Detailed information on the recognition of examinations in the field of Informatics can be found at http://www.aifb.kit.edu/web/ Auslandsaufenthalt.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 93 Module Handbook as of 30/09/2021 6 MODULES Module: Information Engineering [M-WIWI-101411]

M 6.56 Module: Information Engineering [M-WIWI-101411]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 1 term 4 7

Election block: Supplementary Courses () T-WIWI-107501 Energy Market Engineering 4,5 CR Weinhardt T-WIWI-102640 Market Engineering: Information in Institutions 4,5 CR Weinhardt T-WIWI-109940 Special Topics in Information Systems 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO), whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• understands and analyzes the central role of information as an economic good, a production factor, and a competitive factor, • identifies, evaluates, prices, and markets information goods, • analyze and evaluate existing markets regarding the missing incentives and the optimal solution of a given market mechanism, respectively, • develop solutions in teams.

Content In the courses of the module the student can deepen his knowledge on the one hand on the design and operation of markets and on the other hand on the impact of digital goods in network industries regarding the pricing policies, business strategies and regulation issues. If choosen, the course Special Topics in Information Engineering & Management additionally provides an opportunity of practical research in the aforementioned range of subjects.

Annotation All practical Seminars offered at the IM can be chosen for Special Topics in Information Systems. Please update yourself on www.iism.kit.edu/im/lehre.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 94 Module Handbook as of 30/09/2021 6 MODULES Module: Information Systems in Organizations [M-WIWI-104068]

M 6.57 Module: Information Systems in Organizations [M-WIWI-104068]

Responsible: Prof. Dr. Alexander Mädche Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 4

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-105777 Business Intelligence Systems 4,5 CR Mädche, Nadj, Toreini T-WIWI-110851 Designing Interactive Systems 4,5 CR Mädche T-WIWI-108437 Practical Seminar: Information Systems and Service Design 4,5 CR Mädche

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• has a comprehensive understanding of conceptual and theoretical foundations of informations systems in organizations • is aware of the most important classes of information systems used in organizations:. process-centric, information-centric and people-centric information systems. • knows the most important activities required to execute in the pre-implementation, implementation and post- implementation phase of information systems in organizations in order to create business value • has a deep understanding of key capabilities of business intelligence systems and/or interactive information systems used in organizations

Prerequisites None

Content During the last decades we witnessed a growing importance of Information Technology (IT) in the business world along with faster and faster innovation cycles. IT has become core for businesses from an operational company-internal and external customer perspective. Today, companies have to rethink their way of doing business, from an internal as well as an external digitalization perspective. This module focuses on the internal digitalization perspective. The contents of the module abstract from the technical implementation details and focus on foundational concepts, theories, practices and methods for information systems in organizations. The students get the necessary knowledge to guide the successful digitalization of organizations. Each lecture in the module is accompanied with a capstone project that is carried out in cooperation with an industry partner.

Annotation New module starting summer term 2018.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 95 Module Handbook as of 30/09/2021 6 MODULES Module: Innovation and Growth [M-WIWI-101478]

M 6.58 Module: Innovation and Growth [M-WIWI-101478]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 4

Election block: Compulsory Elective Courses (between 9 and 10 credits) T-WIWI-109194 Dynamic Macroeconomics 4,5 CR Brumm T-WIWI-102840 Innovation Theory and Policy 4,5 CR Ott T-WIWI-111318 Growth and Development 4,5 CR Ott

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The exams are offered at the beginning of the recess period about the subject matter of the latest held lecture. Re-examinations are offerd at every ordinary examination date. The assessment procedures are described for each course of the module seperately. The overall grade for the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students shall be given the ability to

• know the basic techniques for analyzing static and dynamic optimization models that are applied in the context of micro- and macroeconomic theories • understand the important role of innovation to the overall economic growth and welfare • identify the importance of alternative incentive mechanisms for the emergence and dissemination of innovations • explain, in which situations market interventions by the state, for example taxes and subsidies, can be legitimized, and evaluate them in the light of economic welfare

Prerequisites None

Content The module includes courses that deal with issues of innovation and growth in the context of micro-and macroeconomic theories. The dynamic analysis makes it possible to analyze the consequences of individual decisions over time, and sheds light on the tension between static and dynamic efficiency in particular. In this context is also analyzed, which policy is appropriate to carry out corrective interventions in the market and thus increase welfare in the presence of market failure.

Recommendation Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. In addition, an interest in quantitative-mathematical modeling is required.

Workload Total expenditure of time for 9 credits: 270 hours

Attendance time per lecture: 3x14h

Preparation and wrap-up time per lecture: 3x14h

Rest: Exam Preparation

The exact distribution is subject to the credits of the courses of the module.

Industrial Engineering and Management M.Sc. 96 Module Handbook as of 30/09/2021 6 MODULES Module: Innovation Economics [M-WIWI-101514]

M 6.59 Module: Innovation Economics [M-WIWI-101514]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German/English 4 2

Election block: Compulsory Elective Courses (between 9 and 10 credits) T-WIWI-102840 Innovation Theory and Policy 4,5 CR Ott T-WIWI-102906 Methods in Economic Dynamics 1,5 CR Ott T-WIWI-109864 Product and Innovation Management 3 CR Klarmann T-WIWI-102789 Seminar in Economic Policy 3 CR Ott

Competence Certificate The assessment is carried out as partial written exams (according to Section 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The examinations are offered every semester. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students shall be given the ability to

• understand the important role of innovation for economic growth and welfare • understand the relevance of alternative incentive mechanisms for the emergence and dissemination of innovations • know basic terms of product and innovation concepts • know fundamental concepts of innovation management • work with fundamental theoretical innovation models and to implement them in appropriate computer algebra systems • query appropriate data sources and to analyse and visualise them using statistical methods

Prerequisites None

Content The module provides students with knowledge about implications of technological and organizational changes. Addressed economic issues are incentives for developing innovations, diffusion processes, and associated effects. In this context the module analyses appropriate policies in the presence of market failures to take corrective action on the market process and thus to increase the dynamic efficiency of economies. Furthermore, the module offers the possibility to learn about different aspects of theoretical modelling of innovation-based growth as a part of the seminar and the methods-workshop. This includes the implementation of formal models in computer algebra systems as well as recording, processing and econometric analysis of related data from relational databases (concerning for example patents or trademarks). Moreover, methods of network theory are applied. Finally, the module emphasises the business perspective: Issues of all stages of innovation processes will be discussed, from innovation strategies up to the market commercialisation.

Recommendation Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012] and Economics II [2600014]. Further, it is assumed that students have interest in using quantiative-mathematical methods.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 97 Module Handbook as of 30/09/2021 6 MODULES Module: Innovation Management [M-WIWI-101507]

M 6.60 Module: Innovation Management [M-WIWI-101507]

Responsible: Prof. Dr. Marion Weissenberger-Eibl Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 7

Mandatory T-WIWI-102893 Innovation Management: Concepts, Strategies and Methods 3 CR Weissenberger-Eibl Election block: Compulsory Elective Courses (1 item) T-WIWI-102873 Current Issues in Innovation Management 3 CR Weissenberger-Eibl T-WIWI-110867 The negotiation of open innovation 3 CR Beyer T-WIWI-108875 Digital Transformation and Business Models 3 CR Koch T-WIWI-102852 Case Studies Seminar: Innovation Management 3 CR Weissenberger-Eibl T-WIWI-108774 Analyzing and Evaluating Innovation Processes 3 CR Beyer T-WIWI-110234 Innovation Processes Live 3 CR Beyer T-WIWI-110263 Methods in Innovation Management 3 CR Koch T-WIWI-102853 Roadmapping 3 CR Koch T-WIWI-110987 Seminar Methods along the Innovation process 3 CR Beyer T-WIWI-110986 Strategic Foresight China 3 CR Weissenberger-Eibl T-WIWI-109932 A Closer Look at Social Innovation 3 CR Beyer T-WIWI-102858 Technology Assessment 3 CR Koch T-WIWI-102854 Technologies for Innovation Management 3 CR Koch Election block: Supplementary Courses (1 item) T-WIWI-102873 Current Issues in Innovation Management 3 CR Weissenberger-Eibl T-WIWI-102866 Design Thinking 3 CR Terzidis T-WIWI-110867 The negotiation of open innovation 3 CR Beyer T-WIWI-108875 Digital Transformation and Business Models 3 CR Koch T-WIWI-102833 Entrepreneurial Leadership & Innovation Management 3 CR Terzidis T-WIWI-102864 Entrepreneurship 3 CR Terzidis T-WIWI-102852 Case Studies Seminar: Innovation Management 3 CR Weissenberger-Eibl T-WIWI-108774 Analyzing and Evaluating Innovation Processes 3 CR Beyer T-WIWI-110234 Innovation Processes Live 3 CR Beyer T-WIWI-110263 Methods in Innovation Management 3 CR Koch T-WIWI-102853 Roadmapping 3 CR Koch T-WIWI-110987 Seminar Methods along the Innovation process 3 CR Beyer T-WIWI-110986 Strategic Foresight China 3 CR Weissenberger-Eibl T-WIWI-109932 A Closer Look at Social Innovation 3 CR Beyer T-WIWI-102854 Technologies for Innovation Management 3 CR Koch T-WIWI-102858 Technology Assessment 3 CR Koch

Competence Certificate See German version.

Industrial Engineering and Management M.Sc. 98 Module Handbook as of 30/09/2021 6 MODULES Module: Innovation Management [M-WIWI-101507]

Competence Goal Students develop a comprehensive understanding of the innovation process and its conditionality. There is an additional focus on the concepts and processes which are of particular relevance with regard to shaping the entire process. Various strategies and methods are then taught based on this. After completing the module, students should have developed a systemic understanding of the innovation process and be able to shape this by developing and applying suitable methods.

Prerequisites The lecture “Innovation Management: Concepts, Strategies and Methods” and one of the seminars of the chair for Innovation and Technology Management are compulsory. The third course can be chosen from the courses of the module.

Content The Innovation Management: Concepts, Strategies and Methods lecture course teaches concepts, strategies and methods which help students to form a systemic understanding of the innovation process and how to shape it. Building on this holistic understanding, the seminar courses then go into the subjects in greater depth and address specific processes and methods which are central to innovation management.

Recommendation None

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 99 Module Handbook as of 30/09/2021 6 MODULES Module: Integrated Production Planning [M-MACH-101272]

M 6.61 Module: Integrated Production Planning [M-MACH-101272]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 1 term German 4 3

Mandatory T-MACH-109054 Integrated Production Planning in the Age of Industry 4.0 9 CR Lanza

Competence Certificate Written Exam (120 min)

Competence Goal The students

• can discuss basic questions of production technology. • are able to apply the methods of integrated production planning they have learned about to new problems. • are able to analyze and evaluate the suitability of the methods, procedures and techniques they have learned about for a specific problem. • can apply the learned methods of integrated production planning to new problems. • can use their knowledge targeted for efficient production technology.

Prerequisites none

Content Within this engineering sciences-oriented module the students will get to learn principle aspects of organization and planning of production systems.

Workload regular attendance: 63 hours self-study: 207 hours

Learning type Lecture, exercise, excursion

Industrial Engineering and Management M.Sc. 100 Module Handbook as of 30/09/2021 6 MODULES Module: Intellectual Property Law [M-INFO-101215]

M 6.62 Module: Intellectual Property Law [M-INFO-101215]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: Compulsory Elective Modules (Law or Sociology)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 4

Election block: Intellectual Property Law (at least 1 item as well as at least 9 credits) T-INFO-101308 Copyright 3 CR Dreier T-INFO-101313 Trademark and Unfair Competition Law 3 CR Matz T-INFO-101307 Internet Law 3 CR Dreier T-INFO-108462 Selected Legal Issues of Internet Law 3 CR Dreier T-INFO-111403 Seminar: Patent Law 3 CR Dammler

Prerequisites None

Industrial Engineering and Management M.Sc. 101 Module Handbook as of 30/09/2021 6 MODULES Module: Lean Management in Construction [M-BGU-101884]

M 6.63 Module: Lean Management in Construction [M-BGU-101884]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms German 4 3

Mandatory T-BGU-108000 Lean Construction 4,5 CR Haghsheno T-BGU-101007 Project Paper Lean Construction 1,5 CR Haghsheno Election block: Electives (between 1 and 2 items as well as between 3 and 4,5 credits) T-BGU-111313 Turnkey Construction I 1,5 CR Haghsheno T-BGU-111210 Turnkey Construction II 3 CR Haghsheno T-BGU-103427 Site Management 1,5 CR Haghsheno T-BGU-103429 Building Laws 3 CR Haghsheno T-BGU-103432 Project Management in Construction and Real Estate Industry I 3 CR Haghsheno T-BGU-103433 Project Management in Construction and Real Estate Industry II 3 CR Haghsheno

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal. The exam must be repeated at the latest 2 semesters after the first try. The exam will be based on the content of the latest lecture. The exam of of the course Lean Construction consists of a preparatory and oral assessment. The preparatory assessment is a group work and consists of an assignment with presentation. The preparatory assessment is precondition to attend the oral examination (30 min) of the course Lean Construction. The grade of the exam Lean Construction is defined by weighted average of grades for oral examination (75 %) and preparatory assignment (25 %). Examination of courses Projektmanagement in der Bau- und Immobilienwirtschaft I, Projektmanagement in der Bau- und Immobilienwirtschaft II, and Baurecht are carried out written. Combinations of courses Schlüsselfertiges Bauen I, Schlüsselfertiges Bauen II, Bauleitung, and Nachtragsmanagementare examined orally.

Competence Goal see German version

Module grade calculation grade of the module is CP weighted average of grades of the partial exams

Prerequisites The course Lean Construction is compulsory and must be examined.

Content see German version

Recommendation It is recommend to take the module Fundamentals of construction [WI3INGBGU3] from the Bachelor’s degree program.

Annotation none

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 102 Module Handbook as of 30/09/2021 6 MODULES Module: Lean Management in Construction [M-BGU-101884]

Literature Gehbauer, F. (2013) Lean Management Im Bauwesen. Skript des Instituts für Technologie und Management im Baubetrieb, Karlsruher Institut für Technologie (KIT). Liker, J. & Meier, D. (2007) Praxisbuch, der Toyota Weg: für jedes Unternehmen. Finanzbuch Verlag. Rother, M., Shook, J., & Wiegand, B. (2006). Sehen lernen: mit Wertstromdesign die Wertschöpfung erhöhen und Verschwendung beseitigen. Lean Management Institut.

Industrial Engineering and Management M.Sc. 103 Module Handbook as of 30/09/2021 6 MODULES Module: Logistics and Supply Chain Management [M-MACH-105298]

M 6.64 Module: Logistics and Supply Chain Management [M-MACH-105298]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 1 term English 4 1

Mandatory T-MACH-110771 Logistics and Supply Chain Management 9 CR Furmans

Competence Certificate The assessment consists of a 120 minutes written examination (according to §4(2), 1 of the examination regulation).

Competence Goal The student

• has comprehensive and well-founded knowledge of the central challenges in logistics and supply chain management, an overview of various practical issues and the decision-making requirements and models in supply chains, • can model supply chains and logistics systems using simple models with sufficient accuracy, • identifies cause-effect relationships in supply chains, • is able to evaluate supply chains and logistics systems based on the methods they have mastered.

Prerequisites None

Content Logistics and Supply Chain Management provides comprehensive and well-founded fundamentals for the crucial issues in logistics and supply chain management. Within the scope of the lectures, the interaction of different design elements of supply chains is emphasized. For this purpose, qualitative and quantitative description models are used. Methods for mapping and evaluating logistics systems and supply chains are also covered. The lecture contents are enriched by exercises and case studies and partially the comprehension of the contents is provided by case studies. The interacting of the elements will be shown, among other things, in the supply chain of the automotive industry.

Learning type Lectures, tutorials, case studies.

Literature Knut Alicke: Planung und Betrieb von Logistiknetzwerken: Unternehmensübergreifendes Supply Chain Management, 2003 Dieter Arnold et. al.: Handbuch Logistik, 2008 Marc Goetschalkx: Supply Chain Engineering, 2011

Industrial Engineering and Management M.Sc. 104 Module Handbook as of 30/09/2021 6 MODULES Module: Machine Tools and Industrial Handling [M-MACH-101286]

M 6.65 Module: Machine Tools and Industrial Handling [M-MACH-101286]

Responsible: Prof. Dr.-Ing. Jürgen Fleischer Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German 4 4

Mandatory T-MACH-110963 Machine Tools and High-Precision Manufacturing Systems 9 CR Fleischer

Competence Certificate Written exam (120 minutes)

Competence Goal The students

• are able to assess the use and application of machine tools and high-precision manufacturing systems and to differentiate between them in terms of their characteristics and design. • can describe and discuss the essential elements of machine tools and high-precision manufacturing systems (frame, main spindle, feed axes, peripheral equipment, control unit). • are able to select and dimension the essential components of machine tools and high-precision manufacturing systems. • are capable of selecting and evaluating machine tools and high-precision manufacturing systems according to technical and economic criteria.

Prerequisites None

Content The module gives an overview of the construction, use and application of machine tools and high-precision manufacturing systems. In the course of the module a well-founded and practice-oriented knowledge for the selection, design and evaluation of machine tools and high-precision manufacturing systems is conveyed. First, the main components of the systems are systematically explained and their design principles as well as the integral system design are discussed. Subsequently, the use and application of machine tools and high-precision manufacturing systems will be demonstrated using typical machine examples. Based on examples from current research and industrial applications, the latest developments are discussed, especially concerning the implementation of Industry 4.0 and artificial intelligence. Guest lectures from industry round off the module with insights into practice. The individual topics are:

• Structural components of dynamic manufacturing Systems • Feed axes: High-precision positioning • Spindles of cutting machine Tools • Peripheral Equipment • Machine control unit • Metrological Evaluation • Maintenance strategies and condition Monitoring • Process Monitoring • Development process for machine tools and high-precision manufacturing Systems • Machine examples

Workload regular attendance: 63 hours self-study: 207 hours

Learning type Lecture, exercise, excursio

Industrial Engineering and Management M.Sc. 105 Module Handbook as of 30/09/2021 6 MODULES Module: Major Field: Integrated Product Development [M-MACH-102626]

M 6.66 Module: Major Field: Integrated Product Development [M-MACH-102626]

Responsible: Prof. Dr.-Ing. Albert Albers Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 18 Grade to a tenth Each winter term 1 term German 4 2

Mandatory T-MACH-105401 Integrated Product Development 18 CR Albers, Albers Assistenten

Competence Certificate oral examination (60 minutes)

Competence Goal By working practically in experience-based learning arrangements with industrial development tasks, graduates are able to succeed in new and unknown situations when developing innovative products by using methodological and systematic approaches. They can apply and adapt strategies of development and innovation management, technical system analysis and team leadership to the situation. As a result, they are able to foster the development of innovative products in industrial development teams in prominent positions, taking into account social, economic and ethical aspects.

Prerequisites None

Content Organizational integration: integrated product development model, core team management and simultaneous engineering, informational integration: innovation management, cost management, quality management and knowledge management Personal integration: team development and leadership Guest lectures from the industry

Annotation The participation in the course "Integrated Product Development" requires the simultaneous participation in the lecture(2145156), the workshop (2145157) and the product development project (2145300). For organizational reasons, the number of participants for the product development project is limited. Therefore, a selection process will take place. Registration for the selection process is made by means of a registration form, which is available annually from April to July on the homepage of the IPEK. Afterwards the selection itself will be discussed in personal interviews with Professor Albers. The rule here is:

• Students within the course of studies will be decided on the basis of their progress (not only with semesters), which will be determined in a personal interview. The personal selection interviews take place in addition, in order to make the students aware of the special project-oriented format and the time required in correlation with the ECTS points of the course before the final registration for the course. • With the same study progress after waiting period • With same waiting time by lot. • The same procedure is used for students from other courses.

Workload The work load is about 480 hours, corresponding to 16 credit points.

Learning type lecture tutorial product development project

Industrial Engineering and Management M.Sc. 106 Module Handbook as of 30/09/2021 6 MODULES Module: Management Accounting [M-WIWI-101498]

M 6.67 Module: Management Accounting [M-WIWI-101498]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms English 4 2

Mandatory T-WIWI-102800 Management Accounting 1 4,5 CR Wouters T-WIWI-102801 Management Accounting 2 4,5 CR Wouters

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 13 SPO) of the courses of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students • are familiar with various management accounting methods, • can apply these methods for cost estimation, profitability analysis, and product costing, • are able to analyze short-term and long-decisions with these methods, • have the capacity to devise instruments for organizational control.

Prerequisites None

Content The module consists of two courses "Management Accounting 1" and "Management Accounting 2". The emphasis is on structured learning of management accounting techniques.

Annotation The following courses are part of this module:

• The course Management Accounting 1, which is offered in every sommer semester • The course Management Accounting 2, which is offered in every winter semester

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 107 Module Handbook as of 30/09/2021 6 MODULES Module: Manufacturing Technology [M-MACH-101276]

M 6.68 Module: Manufacturing Technology [M-MACH-101276]

Responsible: Prof. Dr.-Ing. Volker Schulze Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German 4 5

Mandatory T-MACH-102105 Manufacturing Technology 9 CR Schulze, Zanger

Competence Certificate Written Exam (180 min)

Competence Goal The students

• can name different manufacturing processes, can describe their specific characteristics and are capable to depict the general function of manufacturing processes and are able to assign manufacturing processes to the specific main groups. • are enabled to identify correlations between different processes and to select a process depending on possible applications. • are capable to describe the theoretical basics for the manufacturing processes they got to know within the scope of the course and are able to compare the processes. • are able to correlate based on their knowledge in materials science the processing parameters with the resulting material properties by taking into account the microstructural effects. • are qualified to evaluate different processes on a material scientific basis.

Prerequisites None

Content Within this engineering sciences-oriented module the students will get to learn principle aspects of manufacturing technology. Further information can be found at the description of the lecture "Manufacturing Technology".

Workload regular attendance: 63 hours self-study: 207 hours

Learning type Lectures, exercise, excursion

Industrial Engineering and Management M.Sc. 108 Module Handbook as of 30/09/2021 6 MODULES Module: Market Engineering [M-WIWI-101446]

M 6.69 Module: Market Engineering [M-WIWI-101446]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 7

Mandatory T-WIWI-102640 Market Engineering: Information in Institutions 4,5 CR Weinhardt Election block: Supplementary Courses (4,5 credits) T-WIWI-102613 Auction Theory 4,5 CR Ehrhart T-WIWI-108880 Blockchains & Cryptofinance 4,5 CR Schuster, Uhrig- Homburg T-WIWI-110797 eFinance: Information Systems for Securities Trading 4,5 CR Weinhardt T-WIWI-107501 Energy Market Engineering 4,5 CR Weinhardt T-WIWI-107503 Energy Networks and Regulation 4,5 CR Weinhardt T-WIWI-102614 Experimental Economics 4,5 CR Weinhardt T-WIWI-111109 KD²Lab Hands-On Research Course: New Ways and Tools in 4,5 CR Weinhardt Experimental Economics T-WIWI-107504 Smart Grid Applications 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students

• know the design criterias of market mechanisms and the systematic approach to create new markets, • understand the basics of the mechanism design and auction theory, • analyze and evaluate existing markets regarding the missing incentives and the optimal solution of a given market mechanism, respectively, • develop solutions in teams.

Prerequisites The course Market Engineering: Information in Institutions [2540460] is compulsory and must be examined.

Content This module explains the dependencies between the design von markets and their success. Markets are complex interaction of different institution and participants in a market behave strategically according to the market rules. The development and the design of markets or market mechanisms has a strong influence on the behavior of the participants. A systematic approach and a thorough analysis of existing markets is inevitable to design, create and operate a market place successfully. the approaches for a systematic analysis are explained in the mandatory course Market Engineering [2540460] by discussing theories about mechanism design and institutional economics. The student can deepen his knowledge about markets in a second course.

Recommendation None

Annotation The course "Computational Economics" [2590458] will not be offered any more in this module from winter term 2015/2016 on. The examination will be offered latest until summer term 2016 (repeaters only).

Industrial Engineering and Management M.Sc. 109 Module Handbook as of 30/09/2021 6 MODULES Module: Market Engineering [M-WIWI-101446]

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 110 Module Handbook as of 30/09/2021 6 MODULES Module: Marketing and Sales Management [M-WIWI-105312]

M 6.70 Module: Marketing and Sales Management [M-WIWI-105312]

Responsible: Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 1 term German/English 4 5

Election block: Compulsory Elective Courses (at least 1 item) T-WIWI-111099 Judgment and Decision Making 4,5 CR Scheibehenne T-WIWI-107720 Market Research 4,5 CR Klarmann T-WIWI-109864 Product and Innovation Management 3 CR Klarmann Election block: Supplementary Courses (at most 1 item) T-WIWI-106981 Digital Marketing and Sales in B2B 1,5 CR Klarmann, Konhäuser T-WIWI-110985 International Business Development and Sales 6 CR Casenave , Klarmann, Terzidis T-WIWI-102835 Marketing Strategy Business Game 1,5 CR Klarmann T-WIWI-102891 Price Negotiation and Sales Presentations 1,5 CR Klarmann, Schröder T-WIWI-111246 Pricing Excellence 1,5 CR Bill, Klarmann

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. For passing the module exam in every singled partial exam the respective minimum requirements has to be achieved. When every singled examination is passed, the overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students - have an advanced knowledge about central marketing contents - have a fundamental understanding of the marketing instruments - know and understand several strategic concepts and how to implement them - are able to implement their extensive marketing knowledge in a practical context - know several qualitative and quantitative approaches to prepare decisions in Marketing - have the theoretical knowledge to write a master thesis in Marketing - have the theoretical knowledge to work in/together with the Marketing department

Prerequisites None

Content The aim of this module is to deepen central marketing contents in different areas.

Annotation Please note that only one of the listed 1,5-ECTS courses can be chosen in the module.

Workload The total workload for this module is approximately 270 hours.

Industrial Engineering and Management M.Sc. 111 Module Handbook as of 30/09/2021 6 MODULES Module: Material Flow in Logistic Systems [M-MACH-101277]

M 6.71 Module: Material Flow in Logistic Systems [M-MACH-101277]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German 4 3

Mandatory T-MACH-102151 Material Flow in Logistic Systems 9 CR Furmans

Competence Certificate The assessment (Prüfungsleistung anderer Art) consists of the following assignments:

• 40% assessment of the final case study as individual performance, • 60% semester evaluation which includes working on 5 case studies and defending those (For both assessment types, the best 4 of 5 tries count for the final grade.): ◦ 40% assessment of the result of the case studies as group work, ◦ 20% assessment of the oral examination during the case study colloquiums as individual performance.

A detailed description of the learning control can be found under T-MACH-102151.

Competence Goal The student

• acquires comprehensive and well-founded knowledge on the main topics of logistics, an overview of different logistic questions in practice and knows the functionality of material handling systems, • is able to illustrate logistic systems with adequate accuracy by using simple models, • is able to realize coherences within logistic systems, • is able to evaluate logistic systems by using the learnt methods.

Prerequisites none

Content The module Material Flow in Logistic Systems provides comprehensive and well-founded basics for the main topics of logistics. Within the lectures, the interaction between several components of logistic systems will be shown. The module focuses on technical characteristics of material handling systems as well as on methods for illustrating and evaluating logistics systems. To gain a deeper understanding, the course is accompanied by exercises and case studies.

Workload 270 hours

Learning type Lectures, tutorials.

Industrial Engineering and Management M.Sc. 112 Module Handbook as of 30/09/2021 6 MODULES Module: Material Flow in Networked Logistic Systems [M-MACH-101278]

M 6.72 Module: Material Flow in Networked Logistic Systems [M-MACH-101278]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Mandatory T-MACH-105189 Mathematical Models and Methods for Production Systems 6 CR Baumann, Furmans Election block: Material flow in interconnected logistics systems () T-MACH-105151 Energy Efficient Intralogistic Systems 4 CR Braun, Schönung T-MACH-111003 Global Logistics 4 CR Furmans T-MACH-102128 Information Systems and Supply Chain Management 3 CR Kilger T-MACH-105187 IT-Fundamentals of Logistics 4 CR Thomas T-MACH-105174 Warehousing and Distribution Systems 3 CR Furmans T-MACH-105175 Airport Logistics 3 CR Richter T-MACH-105171 Safety Engineering 4 CR Kany

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• acquires in-depth knowledge on the main topics of logistics, gets an overview of different logistic questions in practice, • is able to evaluate logistic systems by using the learnt methods, • is able to analyze and explain the phenomena of industrial material and value streams.

Prerequisites none

Content The module Material Flow in networked Logistic Systems provides in-depth basics for the main topics of logistics and industrial material and value streams. The obligatory lecture focuses on queuing methods to model production systems. To gain a deeper understanding, the course is accompanied by exercises.

Recommendation It is recommended to successfully complete the course "Material Flow in Logistics Systems" [T-MACH-102151] before starting the module.

Workload Regular attendance: 270 hours (9 credits). Lectures with 180 hours attendance 6 credits. Lectures with 120 hours 4 credits.

Learning type Lecture, tutorial.

Industrial Engineering and Management M.Sc. 113 Module Handbook as of 30/09/2021 6 MODULES Module: Mathematical Programming [M-WIWI-101473]

M 6.73 Module: Mathematical Programming [M-WIWI-101473]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: Operations Research Compulsory Elective Modules (Operations Research)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 7

Election block: Compulsory Elective Courses (at most 2 items) T-WIWI-102719 Mixed Integer Programming I 4,5 CR Stein T-WIWI-102726 Global Optimization I 4,5 CR Stein T-WIWI-103638 Global Optimization I and II 9 CR Stein T-WIWI-102856 Convex Analysis 4,5 CR Stein T-WIWI-111587 Multicriteria Optimization 4,5 CR Stein T-WIWI-102724 Nonlinear Optimization I 4,5 CR Stein T-WIWI-103637 Nonlinear Optimization I and II 9 CR Stein T-WIWI-102855 Parametric Optimization 4,5 CR Stein Election block: Supplementary Courses (at most 2 items) T-WIWI-106548 Advanced Stochastic Optimization 4,5 CR Rebennack T-WIWI-102720 Mixed Integer Programming II 4,5 CR Stein T-WIWI-102727 Global Optimization II 4,5 CR Stein T-WIWI-102723 Graph Theory and Advanced Location Models 4,5 CR Nickel T-WIWI-106549 Large-scale Optimization 4,5 CR Rebennack T-WIWI-111247 Mathematics for High Dimensional Statistics 4,5 CR Grothe T-WIWI-103124 Multivariate Statistical Methods 4,5 CR Grothe T-WIWI-102725 Nonlinear Optimization II 4,5 CR Stein T-WIWI-102715 Operations Research in Supply Chain Management 4,5 CR Nickel T-WIWI-110162 Optimization Models and Applications 4,5 CR Sudermann-Merx

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• names and describes basic notions for advanced optimization methods, in particular from continuous and mixed integer programming, • knows the indispensable methods and models for quantitative analysis, • models and classifies optimization problems and chooses the appropriate solution methods to solve also challenging optimization problems independently and, if necessary, with the aid of a computer, • validates, illustrates and interprets the obtained solutions, • identifies drawbacks of the solution methods and, if necessary, is able to makes suggestions to adapt them to practical problems.

Prerequisites At least one of the courses "Mixed Integer Programming I", "Parametric Optimization", "Convex Analysis", "Nonlinear Optimization I" and "Global Optimization I" has to be taken. Students who choose the module in the field "compulsory elective modules" may select any two courses of the module.

Industrial Engineering and Management M.Sc. 114 Module Handbook as of 30/09/2021 6 MODULES Module: Mathematical Programming [M-WIWI-101473]

Content The modul focuses on theoretical foundations as well as solution algorithms for optimization problems with continuous and mixed integer decision variables.

Annotation The lectures are partly offered irregularly. The curriculum of the next three years is available online (www.ior.kit.edu). For the lectures of Prof. Stein a grade of 30 % of the exercise course has to be fulfilled. The description of the particular lectures is more detailed.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 115 Module Handbook as of 30/09/2021 6 MODULES Module: Microeconomic Theory [M-WIWI-101500]

M 6.74 Module: Microeconomic Theory [M-WIWI-101500]

Responsible: Prof. Dr. Clemens Puppe Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German/English 4 3

Election block: Compulsory Elective Courses (at least 9 credits) T-WIWI-102609 Advanced Topics in Economic Theory 4,5 CR Mitusch T-WIWI-102861 Advanced Game Theory 4,5 CR Ehrhart, Puppe, Reiß T-WIWI-102859 Social Choice Theory 4,5 CR Puppe T-WIWI-102613 Auction Theory 4,5 CR Ehrhart T-WIWI-105781 Incentives in Organizations 4,5 CR Nieken

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• are able to model practical microoeconomic problems mathematically and to analyze them with respect to positive and normative questions, • understand individual incentives and social outcomes of different institutional designs.

An example of a positive question is: which regulation policy results in which firm decistions under imperfect competition? An example of a normative question is: which voting rule has appealing properties?

Prerequisites None

Content The student should gain an understanding of advanced topics in economic theory, game theory and welfare economics. Core topics are, among others, strategic interactions in markets, cooperative and non-cooperative bargaining (Advanced Game Theory), allocation under asymmetric information and general equilibrium over time (Advanced Topics in Economic Theory), voting and the aggregation of preferences and judgements (Social Choice Theory).

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 116 Module Handbook as of 30/09/2021 6 MODULES Module: Microfabrication [M-MACH-101291]

M 6.75 Module: Microfabrication [M-MACH-101291]

Responsible: Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Mandatory T-MACH-102166 Fabrication Processes in Microsystem Technology 3 CR Bade Election block: Mikrofertigung (Ergänzungsbereich) (at least 6 credits) T-MACH-102164 Practical Training in Basics of Microsystem Technology 3 CR Last T-MACH-100530 Physics for Engineers 6 CR Dienwiebel, Gumbsch, Nesterov-Müller, Weygand T-MACH-102167 Nanotribology and -Mechanics 3 CR Dienwiebel, Hölscher T-MACH-102191 Polymers in MEMS B: Physics, Microstructuring and Applications 3 CR Worgull T-MACH-102192 Polymers in MEMS A: Chemistry, Synthesis and Applications 3 CR Rapp T-MACH-102200 Polymers in MEMS C: Biopolymers and Bioplastics 3 CR Rapp, Worgull T-MACH-105556 Practical Course Polymers in MEMS 3 CR Rapp, Worgull T-MACH-109122 X-ray Optics 4 CR Last

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• gains advanced knowledge concerning fabrication techniques in micrometer scale • aquires knowledge in up-to-date developing research • can detect and use causal relation in microfabrication process chains.

Prerequisites none

Content This engineering module allows the student to gain advanced knowledge in the area of microfabrication. Different manufacturing methods are described and analyzed in an advanced manner. Necessary interdisciplinary knowledge from physics, chemistry, materials science and also up-to-date developments (nano and x-ray optics) in micro fabrication is offered.

Workload 270 hours

Industrial Engineering and Management M.Sc. 117 Module Handbook as of 30/09/2021 6 MODULES Module: Microoptics [M-MACH-101292]

M 6.76 Module: Microoptics [M-MACH-101292]

Responsible: Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Election block: Mikrooptik (at least 9 credits) T-MACH-102164 Practical Training in Basics of Microsystem Technology 3 CR Last T-MACH-102165 Selected Topics on Optics and Microoptics for Mechanical Engineers 3 CR Heckele, Mappes T-MACH-101910 Microactuators 3 CR Kohl T-ETIT-100741 Laser Physics 4 CR Eichhorn T-ETIT-101945 Optical Waveguides and Fibers 4 CR Koos T-MACH-109122 X-ray Optics 4 CR Last

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• basic knowlegde for the applications of microoptical systems • understanding fabrication processes of microoptical elements & systems • analyzing strengths and weaknesses of lithography processes • knowledge on the basics of optical sources and detectors and their use in technical systems • fundamental knowledge on different lasers and their design • knowlegde on X-ray imaging methodes

Prerequisites none

Content Optical imaging, measuring and sensor systems are a base for modern natural sciences. In particular life sciences and telecommunications have an intrinsic need for the application of optical technologies. Numerous fields of physics and engineering, e.g. astronomy and material sciences, require optical techniques. Micro optical systems are introduced in medical diagnostics and biological sensing as well as in products of the daily life. In this module, an introduction to the basics of optics is provided; optical effects are presented with respect to their technical use. Optical elements and instruments are presented. Fabrication processes of micro optical systems and elements, in particular lithography, are discussed. In addition X-ray optics and X-ray imaging systems are presented as well as elements of optical telecommunication. A closer look on the physics behind lasers, being one of the most important technical light sources, is provided. As high end technology and clean room equipment is present in all the lectures of this module, the students will have a hands-on training with several experiments in micro optics.

Workload 270 hours

Industrial Engineering and Management M.Sc. 118 Module Handbook as of 30/09/2021 6 MODULES Module: Microsystem Technology [M-MACH-101287]

M 6.77 Module: Microsystem Technology [M-MACH-101287]

Responsible: Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 3

Election block: Mikrosystemtechnik (at least 9 credits) T-MACH-102165 Selected Topics on Optics and Microoptics for Mechanical Engineers 3 CR Heckele, Mappes T-MACH-100967 BioMEMS - Microsystems Technologies for Life-Sciences and 3 CR Guber Medicine II T-MACH-100968 BioMEMS - Microsystems Technologies for Life-Sciences and 3 CR Guber Medicine III T-MACH-102172 Bionics for Engineers and Natural Scientists 3 CR Hölscher T-MACH-105182 Introduction to Microsystem Technology I 3 CR Badilita, Jouda, Korvink T-MACH-105183 Introduction to Microsystem Technology II 3 CR Jouda, Korvink T-MACH-101910 Microactuators 3 CR Kohl T-MACH-102080 Nanotechnology with Clusterbeams 3 CR Gspann T-MACH-102152 Novel Actuators and Sensors 4 CR Kohl, Sommer T-ETIT-101907 Optoelectronic Components 4 CR Freude T-MACH-100530 Physics for Engineers 6 CR Dienwiebel, Gumbsch, Nesterov-Müller, Weygand T-MACH-102164 Practical Training in Basics of Microsystem Technology 3 CR Last

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal construction and production of e. g. mechanical, optical, fluidic and sensory microsystems.

Prerequisites none

Content The module offers courses in microsystem technology. Knowledge is imparted in various fields like basics in construction and production of e. g. mechanical, optical, fluidic and sensory microsystems.

Workload 270 hours

Industrial Engineering and Management M.Sc. 119 Module Handbook as of 30/09/2021 6 MODULES Module: Mobile Machines [M-MACH-101267]

M 6.78 Module: Mobile Machines [M-MACH-101267]

Responsible: Prof. Dr.-Ing. Marcus Geimer Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 3

Mandatory T-MACH-110959 Basics of Mobile Working Machines 9 CR Geimer

Competence Certificate The assessment is carried out as a general oral exam of the single courses of this module. The overall grade of the module is the grade of the oral examination.

Competence Goal After conclusion the module the student will know the latest developments in mobile machines and is able to evaluate the concepts and the trends of developments. The student is able to

• apply and evaluate the physical principles of hydrostatics, • name common components and explain how they work, • calculate hydrostatic systems, • describe mobile working machines, • characterize fields of application of the machines, • describe the construction of the machine.

After a successful participation:

• the student can name the wide range of mobile working machines • the student knows the possible applications and processes of the most important mobile working machines • the student can describe selected subsystems and components

Content In the module of Mobile Machines [WI4INGMB15] the students will learn the structure of the machines and basics of hydraulics. The module is practically orientated and supported by industry partners.

Workload 270 hours

Learning type

• Research-oriented teaching • lectures • exercises

Industrial Engineering and Management M.Sc. 120 Module Handbook as of 30/09/2021 6 MODULES Module: Module Master Thesis [M-WIWI-101650]

M 6.79 Module: Module Master Thesis [M-WIWI-101650]

Responsible: Studiendekan des KIT-Studienganges Organisation: KIT Department of Economics and Management Part of: Master Thesis

Credits Grading scale Recurrence Duration Language Level Version 30 Grade to a tenth Each term 1 term German 4 2

Mandatory T-WIWI-103142 Master Thesis 30 CR Studiendekan der KIT- Fakultät für Informatik, Studiendekan des KIT- Studienganges

Competence Certificate The Master Thesis is a written exam which shows that the student can autonomously investigate a scientific problem in Industrial Engineering and Management. The Master Thesis is described in detail in § 11 of the examination regulation. The review is carried out by at least one examiner of the Department of Economics and Management, or, after approval by at least one examiner of another faculty. The examiner has to be involved in the degree programme. Involved in the degree programme are the persons that coordinate a module or a lecture of the degree programme. The regular processing time takes six months. On a reasoned request of the student, the examination board can extend the processing time of a maximum of three month. If the Master Thesis is not completed in time, this exam is "failed", unless the student is not being responsible (eg maternity leave). With consent of the examinor the thesis can be written in English as well. Other languages require besides the consent of the examiner the approval of the examination board. The issue of the Master Thesis may only returned once and only within the first month of processing time. A new topic has to be released within four weeks.

The module grade is the grade for the Master Thesis.

Competence Goal The student can independently handle a complex and unfamiliar subject based on scientific criteria and on the current state of research. He/she is in a position to critically analyze and structure the researched information as well as derive principles and regularities. He/she knows how to apply the thereby achieved results to solve the task at hand. Taking into account this knowledge and his/her interdisciplinary knowledge, he/she can draw own conclusions, derive improvement potentials, propose and implement science- based decisions. This is basically also done under consideration of social and/or ethical aspects. He/she can interpret, evaluate and if required, graphically present the obtained results. He/she is in a position to sensibly structure a research paper, document them and clearly communicate the results in scientific form.

Prerequisites Prerequisite for admission to the Master thesis is that 50 percent of the credit points has to be completed. A written confirmation of the examinor about supervising the Master Thesis is required. Please pay regard to the institute specific rules for supervising a Master Thesis.

The Master Thesis has to contain the following declaration: "I hereby declare that I produced this thesis without external assistance, and that no other than the listed references have been used as sources of information. Passages taken literally or analogously from published or non published sources is marked as this." If this declaration is not given, the Master Thesis will not be accepted.

Content The Master Thesis is a major scientific work. The topic of the Master Thesis will be chosen by the student themselves and adjusted with the examinor. The topic has to be related to Industrial Engineering and Management and has to refer to subject-specific or interdisciplinary problems.

Workload The total workload for this module is approximately 900 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 121 Module Handbook as of 30/09/2021 6 MODULES Module: Nanotechnology [M-MACH-101294]

M 6.80 Module: Nanotechnology [M-MACH-101294]

Responsible: Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Mandatory T-MACH-105180 Nanotechnology for Engineers and Natural Scientists 4 CR Dienwiebel, Hölscher, Walheim Election block: Nanotechnologie (Ergänzungsbereich) (at least 5 credits) T-MACH-102080 Nanotechnology with Clusterbeams 3 CR Gspann T-MACH-102167 Nanotribology and -Mechanics 3 CR Dienwiebel, Hölscher T-MACH-102164 Practical Training in Basics of Microsystem Technology 3 CR Last T-MACH-102152 Novel Actuators and Sensors 4 CR Kohl, Sommer T-MACH-102172 Bionics for Engineers and Natural Scientists 3 CR Hölscher T-ETIT-100740 Quantum Functional Devices and Semiconductor Technology 3 CR Koos

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• has detailed knowledge in the field of nanotechnology • is able to evaluate the specific characteristics of nanosystems.

Prerequisites none

Content The module deals with the most important principles and fundamentals of modern nanotechnology. The compulsory module “Nanotechnology with scanning probe methods” introduces the basics of nanotechnology and nanoanalytics. The specific phenomena and properties found in nanoscale systems are the main topic of the module.

Workload 270 hours

Industrial Engineering and Management M.Sc. 122 Module Handbook as of 30/09/2021 6 MODULES Module: Natural Hazards and Risk Management [M-WIWI-104837]

M 6.81 Module: Natural Hazards and Risk Management [M-WIWI-104837]

Responsible: apl. Prof. Dr. Michael Kunz Organisation: KIT Department of Economics and Management Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Election block: Wahlpflichtangebot (between 9 and 12 credits) T-BGU-101499 Introduction to Hydrogeology 5 CR Goldscheider T-BGU-108943 Engineering Hydrology 3 CR Ehret T-BGU-111275 Integrated Design Project in Water Resources Management 6 CR Ehret, Seidel T-BGU-101859 Morphodynamics 3 CR Rodrigues Pereira da Franca T-BGU-106620 Examination Prerequisite Environmental Communication 0 CR Kämpf T-BGU-101676 Environmental Communication 4 CR Kämpf

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal See German version

Prerequisites None

Content See German version

Annotation Students, who successfully completed both modules “Understanding and Prediction of Disasters” I and II (alternatively: one of the modules in Bachelor and Master) can get a certificate of the module coordinator (CEDIM). This certificate lists the successful completed courses within the two modules.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 123 Module Handbook as of 30/09/2021 6 MODULES Module: Network Economics [M-WIWI-101406]

M 6.82 Module: Network Economics [M-WIWI-101406]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 2

Election block: Compulsory Elective Courses (9 credits) T-WIWI-100005 Competition in Networks 4,5 CR Mitusch T-WIWI-100007 Transport Economics 4,5 CR Mitusch, Szimba T-WIWI-102609 Advanced Topics in Economic Theory 4,5 CR Mitusch T-WIWI-102712 Regulation Theory and Practice 4,5 CR Mitusch T-WIWI-102713 Telecommunication and Internet Economics 4,5 CR Mitusch

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The exams are offered at the beginning of the recess period about the subject matter of the latest held lecture. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately. The overall grade for the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students

• have acquired the basic knowledge for a future job in a network company or in a regulatory agency, ministry etc. • recognize the specific characterizations of network sectors, know fundamental methods for an economic analysis of network sectors and recognize the interfaces for an interdisciplinary cooperation of economists, engineers and lawyers • understand the interactions between infrastructures, control systems, and the users of networks, especially concerning their implications on investments, price setting and competitive behavior, and they can model or simulate exemplary applications • can assess the necessity of regulation of natural monopolies and identify regulatory measures that are important for networks.

Prerequisites None

Content The module is concerned with network or infrastructure industries in the economy, e.g. telecommunication, traffic and energy sectors. These sectors are characterized by close interdependencies of operators and users of infrastructure as well as on states. States intervene in various forms, by the public and regulation authorities, due to the importance of network industries and due to limited abilities of markets to work properly in these industries. The students are supposed to develop a broad knowledge of these sectors and of the political options available.

Recommendation Basics of microeconomics obtained within the undergraduate programme (B.Sc) of economics are required.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 124 Module Handbook as of 30/09/2021 6 MODULES Module: Operations Research in Supply Chain Management [M-WIWI-102832]

M 6.83 Module: Operations Research in Supply Chain Management [M-WIWI-102832]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: Operations Research Compulsory Elective Modules (Operations Research)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 7

Election block: Compulsory Elective Courses (at most 2 items) T-WIWI-102723 Graph Theory and Advanced Location Models 4,5 CR Nickel T-WIWI-106200 Modeling and OR-Software: Advanced Topics 4,5 CR Nickel T-WIWI-102715 Operations Research in Supply Chain Management 4,5 CR Nickel Election block: Supplementary Courses (at most 2 items) T-WIWI-106546 Introduction to Stochastic Optimization 4,5 CR Rebennack T-WIWI-102718 Discrete-Event Simulation in Production and Logistics 4,5 CR Nickel T-WIWI-102719 Mixed Integer Programming I 4,5 CR Stein T-WIWI-102720 Mixed Integer Programming II 4,5 CR Stein T-WIWI-110162 Optimization Models and Applications 4,5 CR Sudermann-Merx T-WIWI-106549 Large-scale Optimization 4,5 CR Rebennack

Competence Certificate The assessment is carried out as partial exams (according to § 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• is familiar with basic concepts and terms of Supply Chain Management, • knows the different areas of SCM and their respective optimization problems, • is acquainted with classical location problem models (in planes, in networks and discrete) as well as fundamental methods for distribution and transport planning, inventory planning and management, • is able to model practical problems mathematically and estimate their complexity as well as choose and adapt appropriate solution methods.

Prerequisites At least one of the courses "Operations Research in Supply Chain Management", "Graph Theory and Advanced Location Models", "Modeling and OR-Software: Advanced Topics" and "Special Topics of Stochastic Optimization (elective)" has to be taken. Students who choose the module in the field "compulsory elective modules" may select any two courses of the module.

Industrial Engineering and Management M.Sc. 125 Module Handbook as of 30/09/2021 6 MODULES Module: Operations Research in Supply Chain Management [M-WIWI-102832]

Content Supply Chain Management is concerned with the planning and optimization of the entire, inter-company procurement, production and distribution process for several products taking place between different business partners (suppliers, logistics service providers, dealers). The main goal is to minimize the overall costs while taking into account several constraints including the satisfaction of customer demands. This module considers several areas of SCM. On the one hand, the determination of optimal locations within a supply chain is addressed. Strategic decisions concerning the location of facilities as production plants, distribution centers or warehouses are of high importance for the rentability of Supply Chains. Thoroughly carried out, location planning tasks allow an efficient flow of materials and lead to lower costs and increased customer service. On the other hand, the planning of material transport in the context of supply chain management represents another focus of this module. By linking transport connections and different facilities, the material source (production plant) is connected with the material sink (customer). For given material flows or shipments, it is considered how to choose the optimal (in terms of minimal costs) distribution and transportation chain from the set of possible logistics chains, which asserts the compliance of delivery times and further constraints. Furthermore, this module offers the possibility to learn about different aspects of the tactical and operational planning level in Suppy Chain Mangement, including methods of scheduling as well as different approaches in procurement and distribution logistics. Finally, issues of warehousing and inventory management will be discussed.

Recommendation Basic knowledge as conveyed in the module Introduction to Operations Research is assumed.

Annotation Some lectures and courses are offered irregularly. The planned lectures and courses for the next three years are announced online.

Workload Total effort for 9 credits: ca. 270 hours

• Presence time: 84 hours • Preparation/Wrap-up: 112 hours • Examination and examination preparation: 74 hours

Industrial Engineering and Management M.Sc. 126 Module Handbook as of 30/09/2021 6 MODULES Module: Optoelectronics and Optical Communication [M-MACH-101295]

M 6.84 Module: Optoelectronics and Optical Communication [M-MACH-101295]

Responsible: Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 2

Election block: Optoelektronik und Optische Kommunikationstechnik (Kernbereich) (1 item) T-ETIT-100639 Optical Transmitters and Receivers 6 CR Freude Election block: Optoelektronik und Optische Kommunikationstechnik (Ergänzungsbereich) (at least 5 credits) T-MACH-102152 Novel Actuators and Sensors 4 CR Kohl, Sommer T-ETIT-101938 Communication Systems and Protocols 5 CR Becker, Becker T-ETIT-100741 Laser Physics 4 CR Eichhorn T-ETIT-100740 Quantum Functional Devices and Semiconductor Technology 3 CR Koos T-ETIT-101945 Optical Waveguides and Fibers 4 CR Koos

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Student has basic knowledge of optical communication systems and related device and fabrication technologies.

• He/she can apply this knowledge to specific problems.

Prerequisites none

Content This module covers practical and theoretical aspects in the areas of optical communications and optoelectronics. System aspects of communication networks are complemented by fundamental principles and device technologies of optoelectronics as well as and microsystem fabrication technologies.

Workload 270 hours

Industrial Engineering and Management M.Sc. 127 Module Handbook as of 30/09/2021 6 MODULES Module: Principles of Food Process Engineering [M-CIWVT-101120]

M 6.85 Module: Principles of Food Process Engineering [M-CIWVT-101120]

Responsible: Dr. Volker Gaukel Organisation: KIT Department of Chemical and Process Engineering Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 2 terms 4 2

Election block: Principles of Food Process Engineerung (1 item) T-CIWVT-111536 Process Engineering: Example Food Processing 6 CR Gaukel T-CIWVT-100152 Advanced Food Processing 3 CR Gaukel Election block: Elective Courses: Food Process Engineering (between 3 and 6 credits) T-CIWVT-111434 Additives and Active Substances 1,5 CR van der Schaaf T-CIWVT-111435 Extrusion Technology 1,5 CR Emin T-CIWVT-111535 Food Science and Functionality 3 CR Watzl

Competence Goal See German version.

Prerequisites none

Industrial Engineering and Management M.Sc. 128 Module Handbook as of 30/09/2021 6 MODULES Module: Private Business Law [M-INFO-101216]

M 6.86 Module: Private Business Law [M-INFO-101216]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: Compulsory Elective Modules (Law or Sociology)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Election block: Private Business Law (at least 1 item as well as at least 9 credits) T-INFO-111405 Seminar: Commercial and Corporate Law in the IT Industry 3 CR Dreier, Nolte T-INFO-101288 Corporate Compliance 3 CR Herzig T-INFO-102036 Computer Contract Law 3 CR Bartsch T-INFO-111436 Employment Law 3 CR Hoff T-INFO-111437 Tax Law 3 CR Dietrich

Competence Goal The student

• has gained in-depth knowledge of German company law, commercial law and civil law; • is able to analyze, evaluate and solve complex legal and economic relations and problems; • is well grounded in individual labour law, collective labour law and commercial constitutional law, evaluates and critically assesses clauses in labour contracts; • recognizes the significance of the parties to collective labour agreements within the economic system and has differentiated knowledge of labour disputes law and the law governing the supply of temporary workers and of social law; • possesses detailed knowledge of national earnings and corporate tax law and is able to deal with provisions of tax law in a scientific manner and assesses the effect of these provisions on corporate decision-making.

Prerequisites None

Content The module provides the student with knowledge in special matters in business law, like employment law, tax law and business law, which are essential for managerial decisions.

Industrial Engineering and Management M.Sc. 129 Module Handbook as of 30/09/2021 6 MODULES Module: Process Engineering in Construction [M-BGU-101110]

M 6.87 Module: Process Engineering in Construction [M-BGU-101110]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms German 4 1

Mandatory T-BGU-101844 Process Engineering 3 CR Schneider Election block: Electives (between 2 and 3 items as well as between 6 and 7,5 credits) T-BGU-101845 Construction Equipment 3 CR Gentes T-BGU-101832 Operation Methods for Foundation and Marine Construction 1,5 CR Schneider T-BGU-101801 Operation Methods for Earthmoving 1,5 CR Schlick T-BGU-101846 Tunnel Construction and Blasting Engineering 3 CR Haghsheno T-BGU-101847 Project Studies 3 CR Gentes T-BGU-101850 Disassembly Process Engineering 3 CR Gentes

Competence Certificate - 'Teilleistung' T-BGU-101844 with written examination according to § 4 Par. 2 No. 1 according to selected course: - 'Teilleistung' T-BGU-101845 with written examination according to § 4 Par. 2 No. 1 - 'Teilleistung' T-BGU-101832 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-101801 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-101846 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-101847 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-101850 with oral examination according to § 4 Par. 2 No. 2 details about the learning controls see at the respective 'Teilleistung'

Competence Goal Students understand different processes and the related construction equipment, it's technology, capabilities and constraints. Students can define process solutions consisting of machinery and devices. They can evaluate existing processes through knowledge about process performance and operating conditions, and the can identify potential for improvement.

Module grade calculation grade of the module is CP weighted average of grades of the partial exams

Prerequisites The course Verfahrenstechnik [6241704] is compulsory and must be examined.

Content Within the frame of this module, various construction und conditioning processes will be presented as well as performance calculations conducted. Students learn about the construction machinery and devices of these processes. Transmission, generation, conversion and controlling of power are explained with the help of various practical examples. Moreover, the module includes possibilities for an on-site familiarization.

Recommendation none

Annotation None

Workload see German version

Industrial Engineering and Management M.Sc. 130 Module Handbook as of 30/09/2021 6 MODULES Module: Project Management in Construction [M-BGU-101888]

M 6.88 Module: Project Management in Construction [M-BGU-101888]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms German 4 2

Mandatory T-BGU-103432 Project Management in Construction and Real Estate Industry I 3 CR Haghsheno T-BGU-111210 Turnkey Construction II 3 CR Haghsheno Election block: Electives (between 1 and 2 items as well as between 3 and 4,5 credits) T-BGU-103427 Site Management 1,5 CR Haghsheno T-BGU-111313 Turnkey Construction I 1,5 CR Haghsheno T-BGU-103428 Supplementary Claim Management 1,5 CR Haghsheno T-BGU-103429 Building Laws 3 CR Haghsheno T-BGU-103433 Project Management in Construction and Real Estate Industry II 3 CR Haghsheno

Competence Certificate - 'Teilleistung' T-BGU-103432 with written examination according to § 4 Par. 2 No. 1 - 'Teilleistung' T-BGU-111210 with oral examination according to § 4 Par. 2 No. 2 according to selected course: - 'Teilleistung' T-BGU-103427 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-111313 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-103428 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-103429 with oral examination according to § 4 Par. 2 No. 2 - 'Teilleistung' T-BGU-103433 with oral examination according to § 4 Par. 2 No. 2 details about the learning controls see at the respective 'Teilleistung'

Competence Goal see German version

Module grade calculation grade of the module is CP weighted average of grades of the partial exams

Prerequisites The courses Projektmanagement in der Bau- und Immobilienwirtschaft I and Schlüsselfertiges Bauen II are compulsory and must be examined.

Content see German version

Recommendation none

Annotation none

Workload see German version

Industrial Engineering and Management M.Sc. 131 Module Handbook as of 30/09/2021 6 MODULES Module: Project Management in Construction [M-BGU-101888]

Literature DIETHELM, G.: Projektmanagement, Band 1: Grundlagen, Verlag Neue Wirtschafts-Briefe, Herne, 2000 DIETHELM, G.: Projektmanagement, Band 2: Sonderfragen, Verlag Neue Wirtschafts-Briefe, Herne, 2001 ESCHENBRUCH, K.: Recht der Projektsteuerung, Werner Verlag, München, 2003 HAHN, R.: Projektmanagement für Ingenieure, Wiley-VCH Verlag, Weinheim, 2002 KERZNER, H.: Project Management - A Systems Approach to Planning, Scheduling and Controlling, Wiley & Sons, 2006 KOCHENDÖRFER, B., LIEBCHEN, J.: Bau-Projekt-Management, Verlag B. G. Teubner, Stuttgart, 2001 Project Management Institute: A Guide to the Project Management Body of Knowledge: PMBOK Guide, 2008 ROSENAU, M:, W.: Succesful Project Management, Van Norstrand Reinhold, New York, 1992 VOLKMANN, W.: Projektabwicklung, Verlag für Wirtschaft und Verwaltung Hubert Wingen, Essen, 2002 ELWERT, Ulrich, Flassak, Alexander: Nachtragsmanagement in der Baupraxis - Grundlagen, Beispiele, Anwendung, Vieweg, 2., erw. und aktualisierte Aufl., Wiesbaden, 2008. WÜRFELE, Falk [Hrsg.]: Nachtragsmanagement - Leistungsbeschreibung, Leistungsabweichung, Bauzeitverzögerung, Werner, Neuwied, 2006. SCHERER, Holger: Integriertes Nachtragsmanagement - Verfahrenshandbuch für die Dokumentation von Behinderungen, Störungen und Nachtragssachverhalten auf der Grundlage der VOB, Zeittechnik-Verlag, Neu-Isenburg, 2001. HELLER, Jörg: Sicherung der Nachtragsvergütung nach VOB und BGB, Zeittechnik-Verlag, Neu-Isenburg, 2000

Industrial Engineering and Management M.Sc. 132 Module Handbook as of 30/09/2021 6 MODULES Module: Public Business Law [M-INFO-101217]

M 6.89 Module: Public Business Law [M-INFO-101217]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: Compulsory Elective Modules (Law or Sociology)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Election block: Public Business Law (at least 1 item as well as at least 9 credits) T-INFO-101309 Telecommunications Law 3 CR Hermstrüwer T-INFO-101312 European and International Law 3 CR Brühann T-INFO-111404 Seminar: IT- Security Law 3 CR Schallbruch T-INFO-111406 Data Protection Law 3 CR Eichenhofer

Competence Certificate see course description.

Industrial Engineering and Management M.Sc. 133 Module Handbook as of 30/09/2021 6 MODULES Module: Rail System Technology [M-MACH-101274]

M 6.90 Module: Rail System Technology [M-MACH-101274]

Responsible: Prof. Dr.-Ing. Marcus Geimer Prof. Dr.-Ing. Peter Gratzfeld Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 4

Mandatory T-MACH-102143 Rail System Technology 9 CR Geimer, Gratzfeld

Competence Certificate Oral examination Duration: ca. 45 minutes No tools or reference materials may be used during the exam.

Competence Goal

• The students understand relations and interdependencies between rail vehicles, infrastructure and operation in a rail system. • Based on operating requirements and legal framework they derive the requirements concerning a capable infrastructure and suitable concepts of rail vehicles. • They recognize the impact of alignment, understand the important function of the wheel-rail-contact and estimate the impact of driving dynamics on the operating program. • They evaluate the impact of operating concepts on safety and capacity of a rail system. • They know the infrastructure to provide power supply to rail vehicles with different drive systems. • The students learn the role of rail vehicles and understand their classification. They understand the basic structure und know the functions of the main systems. They understand the overall tasks of vehicle system technology. • They learn functions and requirements of car bodies and jugde advantages and disadvantages of design principles. They know the functions of the car body’s interfaces. • They know about the basics of running dynamics and bogies. • The students learn about advantages and disadvantages of different types of traction drives and judge, which one fits best for each application. • They understand brakes from a vehicular and an operational point of view. They assess the fitness of different brake systems. • They know the basic setup of train control management system and understand the most important functions. • They specify and define suitable vehicle concepts based on requirements for modern rail vehicles.

Industrial Engineering and Management M.Sc. 134 Module Handbook as of 30/09/2021 6 MODULES Module: Rail System Technology [M-MACH-101274]

Content

1. Railway System: railway as system, subsystems and interdependencies, definitions, laws, rules, railway and environment, economic impact 2. Operation: Transportation, public transport, regional transport, long-distance transport, freight service, scheduling 3. Infrastructure: rail facilities, track alignment, railway stations, clearance diagram 4. Wheel-rail-contact: carrying of vehicle mass, adhesion, wheel guidance, current return 5. Vehicle dynamics: tractive and brake effort, driving resistance, inertial force, load cycles 6. Signaling and Control: operating procedure, succession of trains, European Train Control System, blocking period, automatic train control 7. Traction power supply: power supply of rail vehicles, comparison electric traction and diesel traction, dc and ac networks, system pantograph and contact wire, filling stations 8. Vehicle system technology: structure and main systems of rail vehicles 9. Car body: functions, requirements, design principles, crash elements, coupling, doors and windows 10. Bogies: forces, running gears, bogies, Jakobs-bogies, active components, connection to car body, wheel arrangement 11. Drives: priciples, electric drives (main components, asynchronous traction motor, inverter, with DC supply, with AC supply, without line supply, multisystem vehicles, dual mode vehicles, hybrid vehicles), non-electric drives 12. Brakes: basics, principles (wheel brakes, rail brakes, blending), brake control (requirements and operation modes, pneumatic brake, electropneumatic brake, emergency brake, parking brake) 13. Train control management system: definition of TCMS, bus systems, components, network architectures, examples, future trends 14. Vehicle concepts: trams, metros, regional trains, intercity trains, high speed trains, double deck vehicles, locomotives, freight wagons

Annotation A bibliography is available for download (Ilias-platform). The lectures can be attended in the same term.

Workload

1. Regular attendance: 42 hours 2. Self-study: 42 hours 3. Exam and preparation: 186 hours

Learning type Lectures

Industrial Engineering and Management M.Sc. 135 Module Handbook as of 30/09/2021 6 MODULES Module: Safety, Computing and Law in Highway Engineering [M-BGU-101066]

M 6.91 Module: Safety, Computing and Law in Highway Engineering [M-BGU-101066]

Responsible: Prof. Dr.-Ing. Ralf Roos Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms German 4 2

Mandatory T-BGU-101804 IT-Based Road Design 3 CR Zimmermann T-BGU-101674 Safety Management in Highway Engineering 3 CR Zimmermann T-BGU-106615 Laws concerning Traffic and Roads 3 CR Hönig

Competence Goal See German version.

Prerequisites The examination "Design Basics in Highway Engineering" has to be passed. This can be taken either in the module "Design, Construction, Operation and Maintenance of Highways" (WI4INGBGU1) or can be approved from a previous study (e.g. Civil Engineering BSc at KIT).

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 136 Module Handbook as of 30/09/2021 6 MODULES Module: Seminar Module [M-WIWI-101808]

M 6.92 Module: Seminar Module [M-WIWI-101808]

Responsible: Studiendekan des KIT-Studienganges Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (mandatory)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 7

Election block: Seminar in Economics and Management, Mathematics and Law (between 3 and 6 credits) T-WIWI-103474 Seminar in Business Administration A (Master) 3 CR Professorenschaft des Fachbereichs Betriebswirtschaftslehre T-WIWI-103476 Seminar in Business Administration B (Master) 3 CR Professorenschaft des Fachbereichs Betriebswirtschaftslehre T-WIWI-103477 Seminar in Economics B (Master) 3 CR Professorenschaft des Fachbereichs Volkswirtschaftslehre T-WIWI-103478 Seminar in Economics A (Master) 3 CR Professorenschaft des Fachbereichs Volkswirtschaftslehre T-WIWI-103479 Seminar in Informatics A (Master) 3 CR Professorenschaft des Instituts AIFB T-WIWI-103480 Seminar in Informatics B (Master) 3 CR Professorenschaft des Instituts AIFB T-WIWI-103481 Seminar in Operations Research A (Master) 3 CR Nickel, Rebennack, Stein T-WIWI-103482 Seminar in Operations Research B (Master) 3 CR Nickel, Rebennack, Stein T-WIWI-103483 Seminar in Statistics A (Master) 3 CR Grothe, Schienle T-WIWI-103484 Seminar in Statistics B (Master) 3 CR Grothe, Schienle T-INFO-101997 Seminar: Legal Studies I 3 CR Dreier T-INFO-105945 Seminar: Legal Studies II 3 CR Dreier Election block: Seminar in Engineering Science (at most 1 item) T-MACH-102135 Conveying Technology and Logistics 3 CR Furmans, Pagani T-MACH-109062 Seminar Production Technology 3 CR Fleischer, Lanza, Schulze T-MACH-108737 Seminar Data-Mining in Production 3 CR Lanza T-BGU-100014 Seminar in Transportation 3 CR Chlond, Vortisch T-WIWI-108763 Seminar in Engineering Science Master (approval) 3 CR Fachvertreter ingenieurwissenschaftlicher Fakultäten T-WIWI-110215 Wildcard Seminar Module Master 3 CR Election block: Interdisciplinary Qualifications (at least 3 credits) T-WIWI-111438 Self-Booking-HOC-SPZ-ZAK-Graded 1 CR This item will not influence the grade calculation of this parent. T-WIWI-111439 Self-Booking-HOC-SPZ-ZAK-Graded 2 CR This item will not influence the grade calculation of this parent. T-WIWI-111440 Self-Booking-HOC-SPZ-ZAK-Graded 3 CR This item will not influence the grade calculation of this parent. T-WIWI-111441 Self-Booking-HOC-SPZ-ZAK-Ungraded 1 CR This item will not influence the grade calculation of this parent. T-WIWI-111442 Self-Booking-HOC-SPZ-ZAK-Ungraded 2 CR This item will not influence the grade calculation of this parent. T-WIWI-111443 Self-Booking-HOC-SPZ-ZAK-Ungraded 3 CR This item will not influence the grade calculation of this parent.

Industrial Engineering and Management M.Sc. 137 Module Handbook as of 30/09/2021 6 MODULES Module: Seminar Module [M-WIWI-101808]

Competence Certificate The modul examination consists of two seminars and of at least one key qualification (KQ) course (according to §4 (3), 3 of the examintaion regulation). A detailed description of every singled assessment is given in the specific course characerization. The final mark for the module is the average of the marks for each of the two seminars weighted by the credits and truncated after the first decimal. Grades of the KQ courses are not included.

Competence Goal

• The students are in a position to independently handle current, research-based tasks according to scientific criteria. • They are able to research, analyze, abstract and critically review the information. • They can draw own conclusions using their interdisciplinary knowledge from the less structured information and selectively develop current research results. • They can logically and systematically present the obtained results both orally and in written form in accordance with scientific guidelines (structuring, technical terminology, referencing). They can argue and defend the results professionally in the discussion.

Prerequisites The course specific preconditions must be observed.

• Seminars: Two seminars out of the course list, that have at least 3 CP each and are offered by a representative of the Department of Economics and Management or of the Center for applied legal studies (Department of Informatics), have to be chosen. • Alternatively one of the two seminars can be absolved at a engineering department. The seminar has to be offered by a representative of the respective department as well. The assessment has to meet the demands of the Department of Economics and Management (active participation, term paper with a workload of at least 80 h, presentation). This alternative seminar requires an official approval and can be applied at the examination office of the Department of Economics and Management. Seminars at the institutes wbk and IFL do not require these approval. • Key Qualification (KQ)-course(s): One or more courses with at least 3 CP in total of additional key qualifications have to be chosen among the courses [HoC, ZAK, Sprachenzentrum].

Content Competences which are gained in the seminar module especially prepare the student for composing the final thesis. Within the term paper and the presentation the student exercises himself in scientific working techniques supported by the supervisor. Beside advancing skills in techniques of scientific working there are gained integrative key qualifications as well. A detailled description o these qualifications is given in the section “Key Qualifications” of the module handbook. Furthermore, the module also includes additional key qualifications provided by the KQ-courses.

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Workload he total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 138 Module Handbook as of 30/09/2021 6 MODULES Module: Sensor Technology I [M-ETIT-101158]

M 6.93 Module: Sensor Technology I [M-ETIT-101158]

Responsible: Dr. Wolfgang Menesklou Organisation: KIT Department of Electrical Engineering and Information Technology Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each summer term 1 term 4 3

Mandatory T-ETIT-101911 Sensors 3 CR Menesklou Election block: Compulsory Elective (at most 2 items as well as at least 6 credits) T-ETIT-100707 Seminar Sensors 3 CR Menesklou T-MACH-101910 Microactuators 3 CR Kohl T-MACH-102164 Practical Training in Basics of Microsystem Technology 3 CR Last T-MACH-105182 Introduction to Microsystem Technology I 3 CR Badilita, Jouda, Korvink T-MACH-105183 Introduction to Microsystem Technology II 3 CR Jouda, Korvink

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2) of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Prerequisites The course Sensor Technology [23231] is obligatory and has to be attended. The elected courses must not be credited in other modules.

Recommendation Knowledge of electrical engineering is assumed. Therefore it is recommended to attend the courses Electrical Engineering II [23224] beforehand.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 139 Module Handbook as of 30/09/2021 6 MODULES Module: Service Analytics [M-WIWI-101506]

M 6.94 Module: Service Analytics [M-WIWI-101506]

Responsible: Prof. Dr. Gerhard Satzger Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 7

Election block: Compulsory Elective Courses (9 credits) T-WIWI-108715 Artificial Intelligence in Service Systems 4,5 CR Satzger T-WIWI-111219 Artificial Intelligence in Service Systems - Applications in Computer 4,5 CR Satzger Vision T-WIWI-105777 Business Intelligence Systems 4,5 CR Mädche, Nadj, Toreini T-WIWI-102899 Modeling and Analyzing Consumer Behavior with R 4,5 CR Dorner, Weinhardt T-WIWI-109940 Special Topics in Information Systems 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• knows the theoretical bases and the key components of Business Intelligence systems, • acquires the basic skills to make use of business intelligence and analytics software in the service context • are introduced into various application scenarios of analytics in the service context • are able to distinguish different analytics methods and apply them in context • learn how to apply analytics software in the service context • are trained for the structured compilation and solution of practice relevant problems with the help of commercial business intelligence software packages as well as analytics methods and tools

Prerequisites None

Content The importance of services in modern economies is most evident – nearly 70% of gross value added are achieved in the tertiary sector and a growing number of industrial enterprises add customer specific services to their material goods or transform their business models fundamentally. The growing availability of data “Big Data” and their intelligent processing by applying analytic methods and business intelligence systems plays a key role. It is the goal of the module to give students a comprehensive overview on the subject Business Intelligence & Analytics focusing on service issues. Various scenarios illustrate how the methods and systems introduced help to improve existing services or create innovative data-based services.

Recommendation The course Service Analytics A [2595501] should be taken.

Annotation This module is part of the KSRI teaching profile “Digital Service Systems”. Further information on a service-specific profiling is available under www.ksri.kit.edu/teaching.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 140 Module Handbook as of 30/09/2021 6 MODULES Module: Service Design Thinking [M-WIWI-101503]

M 6.95 Module: Service Design Thinking [M-WIWI-101503]

Responsible: Prof. Dr. Gerhard Satzger Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms English 4 1

Mandatory T-WIWI-102849 Service Design Thinking 12 CR Satzger

Competence Certificate The assessment is carried out as a general exam (according to Section 4(2), 3 of the examination regulation). The overall grade of the module is the grade of the examination (according to Section 4(2), 3 of the examination regulation).

Competence Goal

• Deep knowledge of the innovation method Design Thinking, as introduced and promoted by Stanford University • Development of new, creative solutions through extensive observation of oneself and one's environment, in particular with regard to the relevant service users • Know how to use prototyping and experimentation to visualize one's ideas, to test and iteratively develop them, and to converge on a solution • Learn to apply the method to a real innovation projects issued by industry partners.

Prerequisites None

Content

• Paper Bike: Learning about the basic method elements by building a paper bike that has to fulfill a given set of challenges. The bikes will be tested in a race during an international Kick-Off event with other universities of the SUGAR network (intern. Design Thinking network). • Design Space Exploration: Exploring the problem space through customer and user observation as well as desk research. • Critical Function Prototype: Identification of critical features from the customer's perspective that can contribute to the solution of the overarching problem. Building and testing prototypes that integrate these functionalities. • Dark Horse Prototype: Inverting earlier assumptions and experiences, which leads to the inclusion of new features and solutions. Developing radically new ideas are in the focus of this phase. • Funky Prototype: Integration of the individually tested and successful functions to several complete solution scenarios, which are further tested and developed. • Functional Prototype: Selection of successful scenarios from the previous phase and building a higher resolution prototype. The final solution to the challenge is lade out in detail and tested with users. • Final Prototype: Implementing the functional prototype and presenting it to the customer.

Recommendation This course is held in English – proficiency in writing and communication is required. Our past students recommend to take this course at the beginning of the masters program.

Annotation Due to practical project work as a component of the program, access is limited. The module (as well as the module component) spans two semesters. It starts in September every year and runs until end of June in the subsequent year. Entering the program is only possible at its beginning - after prior application in May/June. For more information on the application process and the program itself are provided in the module component description and the program's website (http://sdt-karlsruhe.de). Furthermore, the KSRI conducts an information event for applicants every year in May. This module is part of the KSRI Teaching Program „Digital Service Systems“. For more information see the KSRI Teaching website: www.ksri.kit.edu/teaching.

Industrial Engineering and Management M.Sc. 141 Module Handbook as of 30/09/2021 6 MODULES Module: Service Design Thinking [M-WIWI-101503]

Workload The total amount of work for this module is approx. 270 hours (9 credits). The workload for this course is comparably high as the course runs in cooperation with partner universities from around the world as well as partner companies. This causes overhead.

Industrial Engineering and Management M.Sc. 142 Module Handbook as of 30/09/2021 6 MODULES Module: Service Economics and Management [M-WIWI-102754]

M 6.96 Module: Service Economics and Management [M-WIWI-102754]

Responsible: Prof. Dr. Gerhard Satzger Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 4

Election block: Compulsory Elective Courses (9 credits) T-WIWI-110280 Digital Services: Business Models and Transformation 4,5 CR Satzger T-WIWI-102640 Market Engineering: Information in Institutions 4,5 CR Weinhardt

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO), whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• understand the scientific basics of the management of digital services and corresponding systems • gain a comprehensive insight in the importance and the most important features of information systems as an central component of the digitalization of business processes, products and services • know the most relevant concepts and theories to shape the digital transformation process of service systems successfully • understand the OR methods in the sector of service management and apply them adequately • are able to use large amounts of available data systematically for the planning, operation and improvement of complex service offers and to design and control information systems • are able to develop market-oriented coordination mechanisms and apply service systems.

Prerequisites None

Content This module provides the foundation for the management of digital services and corresponding systems. The courses in this module cover the major concepts for a successful management of service systems and their digital transformation. Current examples from the research and practice enhance the relevance of the discussed topics.

Recommendation None

Annotation This module is part of the KSRI teaching profile “Digital Service Systems”. Further information on a service-specific profiling is available under www.ksri.kit.edu/teaching.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 143 Module Handbook as of 30/09/2021 6 MODULES Module: Service Innovation, Design & Engineering [M-WIWI-102806]

M 6.97 Module: Service Innovation, Design & Engineering [M-WIWI-102806]

Responsible: Prof. Dr. Alexander Mädche Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 3

Election block: Compulsory Elective Courses (9 credits) T-WIWI-110877 Engineering Interactive Systems 4,5 CR T-WIWI-102639 Business Models in the Internet: Planning and Implementation 4,5 CR Weinhardt T-WIWI-110887 Practical Seminar: Service Innovation 4,5 CR Satzger T-WIWI-108437 Practical Seminar: Information Systems and Service Design 4,5 CR Mädche T-WIWI-102641 Service Innovation 4,5 CR Satzger

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO), whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.

The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• know about the challenges, concepts, methods and tools of service innovation management and are able to use them successfully. • have a profound comprehension of the development and design of innovative services and are able to apply suitable methods and tools on concrete and specific issues. • are able to embed the concepts of innovation management, development and design of services into organisations • are aware of the strategic importance of services, are able to present value creation in the context of services systems and to strategically exploit the possibilities of their digital transformation • elaborate concrete and problem-solving solutions for practical tasks in teams.

Prerequisites Dependencies between courses: The course Practical Seminar Service Innovation cannot be applied in combination with the course Practical Seminar Digital Service Design.

Content This module is designed to constitute the basis for the development of successful ICT supported innovations thus including the methods and tools for innovation management, for the design and the development of digital services and the implementation of new business models. Current examples from science and practice enhance the relevance of the topics addressed.

Recommendation Attending the course Practical Seminar Service Innovation [2595477] is recommended in combination with the course Service Innovation [2595468]. Attending the course Practical Seminar Digital Service Design [new] is recommended in combination with the course Digital Service Design [new].

Annotation This module is part of the KSRI teaching profile “Digital Service Systems”. Further information on a service-specific profiling is available under www.ksri.kit.edu/teaching.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 144 Module Handbook as of 30/09/2021 6 MODULES Module: Service Management [M-WIWI-101448]

M 6.98 Module: Service Management [M-WIWI-101448]

Responsible: Prof. Dr. Gerhard Satzger Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 7

Mandatory T-WIWI-110280 Digital Services: Business Models and Transformation 4,5 CR Satzger Election block: Supplementary Courses (4,5 credits) T-WIWI-108715 Artificial Intelligence in Service Systems 4,5 CR Satzger T-WIWI-111219 Artificial Intelligence in Service Systems - Applications in Computer 4,5 CR Satzger Vision T-WIWI-102899 Modeling and Analyzing Consumer Behavior with R 4,5 CR Dorner, Weinhardt T-WIWI-102641 Service Innovation 4,5 CR Satzger

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students

• understand the basics of developing and managing IT-based services, • understand and apply OR methods in service management, • systematically use vast amounts of available data for planning, operation, personalization and improvement of complex service offerings, and • understand and analyze innovation processes in corporations.

Prerequisites The course "Digital Services: Business Models and Transformation" is compulsory and must be examined.

Content The module service management addresses the basics of developing and managing IT-based services. The lectures contained in this module teach the basics of developing and managing IT-based services and the application of OR methods in the field of service management. Moreover, students learn to systematically analyze vast amounts of data for planning, operation and improvement for complex service offerings. These tools enhance operational and strategic decision support and help to analyze and understand the overall innovation processes in corporations. Current examples from research and industry demonstrate the relevance of the topics discussed in this module.

Recommendation None

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 145 Module Handbook as of 30/09/2021 6 MODULES Module: Service Operations [M-WIWI-102805]

M 6.99 Module: Service Operations [M-WIWI-102805]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: Operations Research Compulsory Elective Modules (Operations Research)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 6

Election block: Compulsory Elective Courses (at most 2 items) T-WIWI-102718 Discrete-Event Simulation in Production and Logistics 4,5 CR Nickel T-WIWI-102884 Operations Research in Health Care Management 4,5 CR Nickel T-WIWI-102715 Operations Research in Supply Chain Management 4,5 CR Nickel T-WIWI-102716 Practical Seminar: Health Care Management (with Case Studies) 4,5 CR Nickel Election block: Supplementary Courses (at most 2 items) T-WIWI-102872 Challenges in Supply Chain Management 4,5 CR Mohr T-WIWI-110971 Demand-Driven Supply Chain Planning 4,5 CR Packowski

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO), whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal Students

• knows the theoretical bases and the key components of Business Intelligence systems, • acquires the basic skills to make use of business intelligence and analytics software in the service context • are introduced into various application scenarios of analytics in the service context • are able to distinguish different analytics methods and apply them in context • learn how to apply analytics software in the service context • are trained for the structured compilation and solution of practice relevant problems with the help of commercial business intelligence software packages as well as analytics methods and tools

Prerequisites At least one of the four courses Operations Research in Supply Chain Management, Operations Research in Health Care Management, Practical seminar: Health Care Management or Discrete-Event Simulation in Production and Logistics has to be assigned. Students who choose the module in the field "compulsory elective modules" may select any two courses of the module.

Content The importance of services in modern economies is most evident – nearly 70% of gross value added are achieved in the tertiary sector and a growing number of industrial enterprises add customer specific services to their material goods or transform their business models fundamentally. The growing availability of data “Big Data” and their intelligent processing by applying analytic methods and business intelligence systems plays a key role. It is the goal of the module to give students a comprehensive overview on the subject Business Intelligence & Analytics focusing on service issues. Various scenarios illustrate how the methods and systems introduced help to improve existing services or create innovative data-based services.

Recommendation The course Practical Seminar Health Care should be combined with the course OR in Health Care Management.

Annotation This module is part of the KSRI teaching profile “Digital Service Systems”. Further information on a service-specific profiling is available under www.ksri.kit.edu/teaching.

Industrial Engineering and Management M.Sc. 146 Module Handbook as of 30/09/2021 6 MODULES Module: Service Operations [M-WIWI-102805]

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 147 Module Handbook as of 30/09/2021 6 MODULES Module: Sociology [M-GEISTSOZ-101169]

M 6.100 Module: Sociology [M-GEISTSOZ-101169]

Responsible: Prof. Dr. Gerd Nollmann Organisation: KIT Department of Humanities and Social Sciences Part of: Compulsory Elective Modules (Law or Sociology)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 2 terms 4 2

Mandatory T-GEISTSOZ-104565 Computer Aided Data Analysis 0 CR Nollmann T-GEISTSOZ-109052 Application of Social Science Methods (WiWi) 9 CR Nollmann

Competence Goal The student

• Gains theoretical and methodical knowledge of social processes and structures, • learns a script based data analysis tool (R, Stata, Python), • gathers his/her data within an own framework and/or analyzes complex data, • is able to present his/her work results in a precise and clear way.

Prerequisites Students must pass three excersise sheets within the seminar "Computer based data analysis".

Content The Sociology module offers students the opportunity to learn a data analysis tool (R, Stata, Python) within the framework of a two-semester course and to independently transfer this tool to a content-related question. Both the tool and the contents are determined by the lecturers. The contents can refer to the analysis of large population surveys (SOEP, Microcensus, ALLBUS), to own experiments, to own field studies or to Big Data analyses.

Annotation Basic knowledge in multivariate regression and inference statistics is required.

Industrial Engineering and Management M.Sc. 148 Module Handbook as of 30/09/2021 6 MODULES Module: Specialization in Food Process Engineering [M-CIWVT-101119]

M 6.101 Module: Specialization in Food Process Engineering [M-CIWVT-101119]

Responsible: Dr. Volker Gaukel Organisation: KIT Department of Chemical and Process Engineering Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 2

Election block: Elective Courses: Specialization in Food Process Engineering (at least 9 credits) T-CIWVT-111433 Drying of Dispersions 1,5 CR Karbstein T-CIWVT-108871 Microbiology for Engineers 3 CR Schwartz T-CHEMBIO-109442 Food Chemistry Basics 3 CR Bunzel T-CIWVT-111434 Additives and Active Substances 1,5 CR van der Schaaf T-CIWVT-111435 Extrusion Technology 1,5 CR Emin T-CIWVT-111534 Introduction to Sensory Analysis with Practice 1,5 CR Scherf T-CIWVT-111535 Food Science and Functionality 3 CR Watzl T-CHEMBIO-108091 Introduction to Food Law 1,5 CR Kuballa

Competence Goal The students

• can explain and apply engineering fundamentals of process engineering • Know and understand various specific aspects of food processing and can apply their basic knowledge to the specifics of food processing/ to the professional practice of food processing.

Content See courses.

Industrial Engineering and Management M.Sc. 149 Module Handbook as of 30/09/2021 6 MODULES Module: Specialization in Production Engineering [M-MACH-101284]

M 6.102 Module: Specialization in Production Engineering [M-MACH-101284]

Responsible: Prof. Dr.-Ing. Volker Schulze Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 4

Election block: Vertiefung der Produktionstechnik (at least 9 credits) T-MACH-110176 Digitalization from Production to the Customer in the Optical Industry 4 CR Wawerla T-MACH-110991 Global Production 4 CR Lanza T-MACH-110981 Tutorial Global Production 1 CR Lanza T-MACH-105188 Integrative Strategies in Production and Development of High 4 CR Schlichtenmayer Performance Cars T-MACH-105783 Learning Factory “Global Production“ 6 CR Lanza T-MACH-108878 Laboratory Production Metrology 5 CR Häfner T-MACH-110318 Product- and Production-Concepts for Modern Automobiles 4 CR Kienzle, Steegmüller T-MACH-110984 Production Technology for E-Mobility 4 CR Fleischer, Ruhland T-MACH-110960 Project Internship Aditive Manufacturing: Development and 4 CR Zanger Production of an Additive Component T-MACH-102107 Quality Management 4 CR Lanza T-MACH-105185 Control Technology 4 CR Gönnheimer T-MACH-105177 Metal Forming 4 CR Herlan T-MACH-102148 Gear Cutting Technology 4 CR Klaiber

Competence Certificate Oral exams: duration approx. 5 min per credit point Written exams: duration approx. 20 - 25 min per credit point Amount, type and scope of the success control can vary according to the individually choice.

Competence Goal The students

• are able to apply the methods of production science to new problems. • are able to analyze and evaluate the suitability of the methods, procedures and techniques for a specific problem. • are able to use their knowledge target-oriented to achieve an efficient production technology. • are able to analyze new situations and choose methods of production science target-oriented based on the analyses, as well as justifying their selection. • are able to describe and compare complex production processes exemplarily.

Prerequisites none

Content Within this module the students will get to know and learn about production science. Manifold lectures and excursions as part of several lectures provide specific insights into the field of production science.

Workload The work load is about 270 hours, corresponding to 9 credit points.

Learning type Lectures, seminars, workshops, excursions

Industrial Engineering and Management M.Sc. 150 Module Handbook as of 30/09/2021 6 MODULES Module: Specific Topics in Materials Science [M-MACH-101268]

M 6.103 Module: Specific Topics in Materials Science [M-MACH-101268]

Responsible: Prof. Dr. Michael Hoffmann Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German 4 3

Election block: Spezielle Werkstoffkunde (at least 9 credits) T-MACH-102141 Constitution and Properties of Wearresistant Materials 4 CR Ulrich T-MACH-100287 Introduction to Ceramics 6 CR Hoffmann T-MACH-102099 Experimental Lab Class in Welding Technology, in Groups 4 CR Dietrich T-MACH-102111 Principles of Ceramic and Powder Metallurgy Processing 4 CR Schell T-MACH-102154 Laboratory Laser Materials Processing 4 CR Schneider T-MACH-102102 Physical Basics of Laser Technology 5 CR Schneider T-MACH-102137 Polymer Engineering I 4 CR Elsner, Liebig T-MACH-102138 Polymer Engineering II 4 CR Elsner, Liebig T-MACH-102103 Superhard Thin Film Materials 4 CR Ulrich T-MACH-100531 Systematic Materials Selection 4 CR Dietrich, Schulze T-MACH-102139 Failure of Structural Materials: Fatigue and Creep 4 CR Gruber, Gumbsch T-MACH-102140 Failure of Structural Materials: Deformation and Fracture 4 CR Gumbsch, Weygand T-MACH-102157 High Performance Powder Metallurgy Materials 4 CR Schell T-MACH-102179 Structural Ceramics 4 CR Hoffmann T-MACH-102182 Ceramic Processing Technology 4 CR Binder T-MACH-102170 Structural and Phase Analysis 4 CR Hinterstein, Wagner T-MACH-105150 Constitution and Properties of Protective Coatings 4 CR Ulrich T-MACH-105170 Welding Technology 4 CR Farajian T-MACH-105164 Laser in Automotive Engineering 4 CR Schneider T-MACH-105157 Foundry Technology 4 CR Wilhelm T-MACH-105178 Practical Course Technical Ceramics 1 CR Schell T-MACH-105179 Functional Ceramics 4 CR Hinterstein, Rheinheimer

Competence Certificate The assessment is carried out as partial exams of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately.

Competence Goal Students acquire special basic knowledge in selected areas of materials science and engineering and can apply them to technical problems. Specific teaching objectives are agreed with the respective coordinator of the course.

Module grade calculation The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Prerequisites None

Content See courses.

Industrial Engineering and Management M.Sc. 151 Module Handbook as of 30/09/2021 6 MODULES Module: Specific Topics in Materials Science [M-MACH-101268]

Workload The module requires an average workload of 270 hours.

Learning type Lecture, Tutorials.

Industrial Engineering and Management M.Sc. 152 Module Handbook as of 30/09/2021 6 MODULES Module: Stochastic Optimization [M-WIWI-103289]

M 6.104 Module: Stochastic Optimization [M-WIWI-103289]

Responsible: Prof. Dr. Steffen Rebennack Organisation: KIT Department of Economics and Management Part of: Operations Research Compulsory Elective Modules (Operations Research)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 10

Election block: Compulsory Elective Courses (between 1 and 2 items) T-WIWI-106546 Introduction to Stochastic Optimization 4,5 CR Rebennack T-WIWI-106548 Advanced Stochastic Optimization 4,5 CR Rebennack T-WIWI-106549 Large-scale Optimization 4,5 CR Rebennack Election block: Supplementary Courses (at most 1 item) T-WIWI-102723 Graph Theory and Advanced Location Models 4,5 CR Nickel T-WIWI-102719 Mixed Integer Programming I 4,5 CR Stein T-WIWI-102720 Mixed Integer Programming II 4,5 CR Stein T-WIWI-111247 Mathematics for High Dimensional Statistics 4,5 CR Grothe T-WIWI-103124 Multivariate Statistical Methods 4,5 CR Grothe T-WIWI-102715 Operations Research in Supply Chain Management 4,5 CR Nickel T-WIWI-106545 Optimization Under Uncertainty 4,5 CR Rebennack T-WIWI-110162 Optimization Models and Applications 4,5 CR Sudermann-Merx

Competence Certificate The assessment is carried out as partial exams (according to § 4(2), 1 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module seperately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The student

• names and describes basic notions for advanced stochastic optimization methods, in particular, ways to algorithmically exploit the special model structures, • knows the indispensable methods and models for quantitative analysis of stochastic optimization problems, • models and classifies stochastic optimization problems and chooses the appropriate solution methods to solve also challenging stochastic optimization problems independently and, if necessary, with the aid of a computer, • validates, illustrates and interprets the obtained solutions, • identifies drawbacks of the solution methods and, if necessary, is able to makes suggestions to adapt them to practical problems.

Prerequisites At least one of the courses "Advanced Stochastic Optimization", "Large-scale Optimization" or "Introduction to Stochastic Optimization" has to be taken. Students who choose the module in the field "compulsory elective modules" may select any two courses of the module.

Content The module focuses on the modeling as well as the imparting of theoretical principles and solution methods for optimization problems with special structure, which occur for example in the stochastic optimization.

Recommendation It is recommended to listen to the lecture "Introduction to Stochastic Optimization" before the lecture "Advanced Stochastic Optimization" is visited.

Industrial Engineering and Management M.Sc. 153 Module Handbook as of 30/09/2021 6 MODULES Module: Stochastic Optimization [M-WIWI-103289]

Annotation The course "Introduction to Stochastic Optimization" will be offered until the winter semester 2020/21 as an additional option in the elective offer of the module. Thereafter, the course can only be selected in the supplementary offer. The courses are sometimes offered irregularly. The curriculum, planned for three years in advance, can be found on the Internet at http://sop.ior.kit.edu/28.php.

Workload The total workload for this module is approximately 270 hours (9 credits). The allocation is made according to the credit points of the courses of the module. The total number of hours per course is determined by the amount of time spent attending the lectures and exercises, as well as the exam times and the time required to achieve the module's learning objectives for an average student for an average performance.

Industrial Engineering and Management M.Sc. 154 Module Handbook as of 30/09/2021 6 MODULES Module: Strategic Design of Modern Production Systems [M-MACH-105455]

M 6.105 Module: Strategic Design of Modern Production Systems [M-MACH-105455]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 1

Election block: Strategic Design of Modern Production Systems (at least 9 credits) T-MACH-110176 Digitalization from Production to the Customer in the Optical Industry 4 CR Wawerla T-MACH-110991 Global Production 4 CR Lanza T-MACH-110981 Tutorial Global Production 1 CR Lanza T-MACH-105188 Integrative Strategies in Production and Development of High 4 CR Schlichtenmayer Performance Cars T-MACH-105783 Learning Factory “Global Production“ 6 CR Lanza T-MACH-110318 Product- and Production-Concepts for Modern Automobiles 4 CR Kienzle, Steegmüller T-MACH-102107 Quality Management 4 CR Lanza

Competence Certificate Oral exams: duration approx. 5 min per credit point Written exams: duration approx. 20 - 25 min per credit point Amount, type and scope of the success control can vary according to the individually choice.

Competence Goal The students

• are able to apply the methods of the strategic design of modern production systems to new problems. • are able to outline the underlying conditions and influencing factors of today's production and derive recommendations for action for an integrated strategy. • are able to use their knowledge target-oriented to achieve an efficient production technology. • are able to analyze new situations and choose methods of production science target-oriented based on the analyses, as well as justifying their selection. • are able to describe and compare complex production processes exemplarily.

Prerequisites none

Content Within this module the students will get to know and learn about methods for the strategic design of modern production systems. Manifold lectures and excursions as part of several lectures provide specific insights into the field of science.

Workload The work load is about 270 hours, corresponding to 9 credit points.

Learning type Lectures, seminars, workshops, excursions

Industrial Engineering and Management M.Sc. 155 Module Handbook as of 30/09/2021 6 MODULES Module: Student Innovation Lab (SIL) 1 [M-WIWI-105010]

M 6.106 Module: Student Innovation Lab (SIL) 1 [M-WIWI-105010]

Responsible: Prof. Dr.-Ing. Sören Hohmann Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: Business Administration Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 2 terms English 4 1

Mandatory T-WIWI-102864 Entrepreneurship 3 CR Terzidis T-WIWI-110166 SIL Entrepreneurship Project 3 CR Terzidis T-WIWI-110287 SIL Entrepreneurship Emphasis 3 CR Terzidis

Competence Certificate The assessment of this module comprises a written examination of 60 minutes on the lecture contents of the lecture "Entrepreneurship" as well as two seminars. All examinations are graded. In both seminars the following tasks have to be fulfilled:

• "SIL Entrepreneurship Project": Presentation of the Value Profile & submission of the Business Plan • "SIL Entrepreneurship Emphasis": Submission of price calculation, market potential analysis, competition analysis, financial plan, risk analysis, decision basis for funding and legal form

In addition, both courses provide for smaller, ungraded tasks to monitor progress. The grade consists of 60 % of the written examination, 20 % of the examination "SIL Entrepreneurship Project" and 20 % of the examination "SIL Entrepreneurship Advanced".

Industrial Engineering and Management M.Sc. 156 Module Handbook as of 30/09/2021 6 MODULES Module: Student Innovation Lab (SIL) 1 [M-WIWI-105010]

Competence Goal Personal competence

• Ability to reflect: Students can analyse certain elements of their actions in social interaction, critically assess them and develop alternative actions. • Decision-making ability: Students can prepare a decision template in due time and provide the necessary factual arguments for alternative decisions and thus make timely decisions. • Interdisciplinary cooperation: Students can recognise the limits of their domain competence and adjust to domains outside their subject area. The students are able to recognise missing (own) competences and to supplement them with complementary competences (of other persons in the team). Students can communicate their domain to others and develop a basic understanding of foreign domains. • Value-based action: Students can use selected tools of psychology to recognize their own values. They can compare these values with other team members and critically reflect on whether their offers match these values.

Social competence

• Ability to cooperate: Students can analyse and assess their cooperation behaviour in the group. Communication skills: Students can present their information in a convincing, focused and target group-oriented way. • Conflict ability: Students can recognise conflicts at an early stage, analyse conflict situations and name solution concepts.

Innovation and Entrepreneurship Competence

• Agile product development: Students can apply methods of agile product development such as Scrum. Methodical innovation finding: Students can perform user- or technology-centric innovation processes to develop sustainable value propositions for dedicated target groups (e.g. Design Thinking (DT), Technology Application Selection (TAS) process). • Orientation on the management of new technology-based companies (NTBF): Students can name the central concepts of intellectual property and legal form. Students can name the most important tasks of entrepreneurial leadership. They can identify the relevant forms of business modelling and draw up a business plan. Students know the central approaches to building an organisation. Students will be able to identify the ownership structure of investments and how to develop a strategy. The students can name marketing concepts and create a business model. • Create investment readiness: The students are able to create a rudimentary sales and cost planning. Furthermore, they are able to create a project plan for a company and derive an investment plan from it. The students can present the business plan to potential investors and develop investor empathy. • Business model development competence: Students are able to use relevant tools for business modelling, e.g. the Business Model Canvas. Students can develop and evaluate alternative business models. • Dealing with risks:Students can identify the basic risks in terms of desirability, technical feasibility and profitability. Students can use customer interaction methods to test desirability and willingness to pay. Students can draw up a rudimentary competitive analysis. Students can identify and identify risks and possible reactions.

Systemic technical competence

• Problem-solving competence: Students can analyse, assess and solve a technical problem in a structured way. • Agile Methodology of System Development: Students can name the different system development processes and apply them appropriately. • Validation in a volatile environment: Students can perform a technical and economic validation under volatile boundary conditions. For this purpose they can name the boundary conditions and interpret the results of the validation. • Functional decomposition: Students are able to identify and interpret complex customer needs and derive functional requirements from them. • Architecture development: The students are able to recognize correlations from the functional requirements and to derive a suitable system architecture.

Prerequisites The module can only be completed together with the module M-WIWI-105011 "Student Innovation Lab 2". An application is required for participation in the modules Student Innovation Lab (SIL) 1 and Student Innovation Lab (SIL) 2. Information about the application can be found at http://www.kit-student-innovation-lab.de/index.php/for-students/. .

Industrial Engineering and Management M.Sc. 157 Module Handbook as of 30/09/2021 6 MODULES Module: Student Innovation Lab (SIL) 1 [M-WIWI-105010]

Content In a real laboratory, the module imparts professional, social and personal competences in entrepreneurship and in the respective technical domain. The aim is to prepare students in the best possible way for an entrepreneurial activity within or outside an established organisation. Our teaching is research-based and practice-oriented. As an integral part, the lecture Entrepreneurship offers the theoretical basis and gives an overview of important theoretical concepts and empirical evidence. Current case studies and practical experiences of successful founders underline the theoretical and empirical contents. In order to operate a company on a long-term basis, important specialist knowledge is also of decisive importance. The content of the lecture therefore includes an introduction to Entrepreneurial Marketing and Leadership as well as the basics of Opportunity Recognition and Business Modeling. Customer-centric development methods, the lean start-up approach and methods for technology-oriented innovation are presented. Future founders must be able to develop and manage resources such as financial and human capital, infrastructure and intellectual property. Further aspects relate to the establishment of an organisation and the financing of one's own project. The knowledge gained in the lecture Entrepreneurship will be applied in a practice-oriented seminar and in the labs. We use an action learning approach to complement the knowledge with skills and reflective attitudes. In five-member teams, the students experience their way from idea generation to the final investor pitch. With regard to the labs, students have the following options:

• As an innovation platform, the Automation Innovation Lab offers flying robots for cooperative swarm solutions. • The Industry 4.0 Innovation Lab enables innovations in the area of the next industrial revolution with mobile robot platforms. • In the Internet of Things Innovation Lab, innovations in Assisted Living and Smart Housing are made possible by a comprehensive kit of mobile robots and sensors.

The module also teaches methods of agile system development (Scrum) and the associated validation methods as well as methods of functional prototyping. Gate plans are applied within the module to determine project progress. Methods for the reflection of individual & team work are treated and applied as well as group work specific knowledge about different roles of team members, solution of conflict situations and interdisciplinary teams are obtained.

Annotation New module starting winter term 2019/2020.

Workload Total effort for 9 credit points: approx. 270 hours. The distribution is based on the credit points of the courses of the module. The total number of hours per course results from the effort required to attend lectures and exercises, as well as the examination times and the time required to achieve the learning objectives of the module for an average student for an average performance.

Industrial Engineering and Management M.Sc. 158 Module Handbook as of 30/09/2021 6 MODULES Module: Student Innovation Lab (SIL) 2 [M-WIWI-105011]

M 6.107 Module: Student Innovation Lab (SIL) 2 [M-WIWI-105011]

Responsible: Prof. Dr.-Ing. Sören Hohmann Prof. Dr.-Ing. Eric Sax Prof. Dr. Wilhelm Stork Prof. Dr. Orestis Terzidis Prof. Dr.-Ing. Thomas Zwick Organisation: KIT Department of Economics and Management Part of: Compulsory Elective Modules (Business Administration)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a third Each winter term 2 terms English 4 1

Mandatory T-ETIT-110291 Innovation Lab 9 CR Hohmann, Sax, Stork, Zwick

Competence Certificate The examination in this module comprises the submission of graded intermediate results in the form of prototypes (low fidelity and high fidelity) as well as various technical and economic reports (according to § 4 (2), 3 SPO):

1. Submission of a technical report with requirements list and system architectur 2. Submission of the reflection of the gate plans 3. Presentation of the High-fidelity

The module grade consists of 50% of the evaluation of the low fidelity prototype including intermediate results of a technical and economic nature and 50% of the evaluation of the high fidelity prototype including intermediate results of a technical and economic nature.

Industrial Engineering and Management M.Sc. 159 Module Handbook as of 30/09/2021 6 MODULES Module: Student Innovation Lab (SIL) 2 [M-WIWI-105011]

Competence Goal Personal competence

• Ability to reflect: Students can analyse certain elements of their actions in social interaction, critically assess them and develop alternative actions. • Decision-making ability: Students can prepare a decision template in due time and provide the necessary factual arguments for alternative decisions and thus make timely decisions. • Interdisciplinary cooperation: Students can recognise the limits of their domain competence and adjust to domains outside their subject area. The students are able to recognise missing (own) competences and to supplement them with complementary competences (of other persons in the team). Students can communicate their domain to others and develop a basic understanding of foreign domains. • Value-based action: Students can use selected tools of psychology to recognize their own values. They can compare these values with other team members and critically reflect on whether their offers match these values.

Social competence

• Ability to cooperate: Students can analyse and assess their cooperation behaviour in the group. Communication skills: Students can present their information in a convincing, focused and target group-oriented way. • Conflict ability: Students can recognise conflicts at an early stage, analyse conflict situations and name solution concepts.

Innovation and Entrepreneurship Competence

• Agile product development: Students can apply methods of agile product development such as Scrum. Methodical innovation finding: Students can perform user- or technology-centric innovation processes to develop sustainable value propositions for dedicated target groups (e.g. Design Thinking (DT), Technology Application Selection (TAS) process). • Orientation on the management of new technology-based companies (NTBF): Students can name the central concepts of intellectual property and legal form. Students can name the most important tasks of entrepreneurial leadership. They can identify the relevant forms of business modelling and draw up a business plan. Students know the central approaches to building an organisation. Students will be able to identify the ownership structure of investments and how to develop a strategy. The students can name marketing concepts and create a business model. • Create investment readiness: The students are able to create a rudimentary sales and cost planning. Furthermore, they are able to create a project plan for a company and derive an investment plan from it. The students can present the business plan to potential investors and develop investor empathy. • Business model development competence: Students are able to use relevant tools for business modelling, e.g. the Business Model Canvas. Students can develop and evaluate alternative business models. • Dealing with risks:Students can identify the basic risks in terms of desirability, technical feasibility and profitability. Students can use customer interaction methods to test desirability and willingness to pay. Students can draw up a rudimentary competitive analysis. Students can identify and identify risks and possible reactions.

Systemic technical competence

• Problem-solving competence: Students can analyse, assess and solve a technical problem in a structured way. • Agile Methodology of System Development: Students can name the different system development processes and apply them appropriately. • Validation in a volatile environment: Students can perform a technical and economic validation under volatile boundary conditions. For this purpose they can name the boundary conditions and interpret the results of the validation. • Functional decomposition: Students are able to identify and interpret complex customer needs and derive functional requirements from them. • Architecture development: The students are able to recognize correlations from the functional requirements and to derive a suitable system architecture.

Prerequisites The module can only be completed together with the module M-WIWI-105010 "Student Innovation Lab (SIL) 1". An application is required for participation in the modules Student Innovation Lab (SIL) 1 and Student Innovation Lab (SIL) 2. Information about the application can be found at http://www.kit-student-innovation-lab.de/index.php/for-students/.

Industrial Engineering and Management M.Sc. 160 Module Handbook as of 30/09/2021 6 MODULES Module: Student Innovation Lab (SIL) 2 [M-WIWI-105011]

Content In a real laboratory, the module imparts professional, social and personal competences in entrepreneurship and in the respective technical domain. The aim is to prepare students in the best possible way for an entrepreneurial activity within or outside an established organisation. Our teaching is research-based and practice-oriented. As an integral part, the lecture Entrepreneurship offers the theoretical basis and gives an overview of important theoretical concepts and empirical evidence. Current case studies and practical experiences of successful founders underline the theoretical and empirical contents. In order to operate a company on a long-term basis, important specialist knowledge is also of decisive importance. The content of the lecture therefore includes an introduction to Entrepreneurial Marketing and Leadership as well as the basics of Opportunity Recognition and Business Modeling. Customer-centric development methods, the lean start-up approach and methods for technology-oriented innovation are presented. Future founders must be able to develop and manage resources such as financial and human capital, infrastructure and intellectual property. Further aspects relate to the establishment of an organisation and the financing of one's own project. The knowledge gained in the lecture Entrepreneurship will be applied in a practice-oriented seminar and in the labs. We use an action learning approach to complement the knowledge with skills and reflective attitudes. In five-member teams, the students experience their way from idea generation to the final investor pitch. With regard to the labs, students have the following options:

• As an innovation platform, the Automation Innovation Lab offers flying robots for cooperative swarm solutions. • The Industry 4.0 Innovation Lab enables innovations in the area of the next industrial revolution with mobile robot platforms. • In the Internet of Things Innovation Lab, innovations in Assisted Living and Smart Housing are made possible by a comprehensive kit of mobile robots and sensors.

The module also teaches methods of agile system development (Scrum) and the associated validation methods as well as methods of functional prototyping. Gate plans are applied within the module to determine project progress. Methods for the reflection of individual & team work are treated and applied as well as group work specific knowledge about different roles of team members, solution of conflict situations and interdisciplinary teams are obtained.

Annotation New module starting winter term 2019/2020.

Workload The module comprises a total of 270 hours (8 hours attendance time, 213 hours preparation and follow-up time, 49 hours preparation time for examination), which corresponds to a total of 9 credit points for two semesters.

Industrial Engineering and Management M.Sc. 161 Module Handbook as of 30/09/2021 6 MODULES Module: Technical Logistics [M-MACH-101279]

M 6.108 Module: Technical Logistics [M-MACH-101279]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German 4 4

Mandatory T-MACH-109919 Basics of Technical Logistics I 4 CR Mittwollen, Oellerich T-MACH-109920 Basics of Technical Logistics II 5 CR Hochstein

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the single courses of this module, whose sum of credits must meet the requirement of credits of this module. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal. T-MACH-109920 "Basics of Technical Logistics II" is based on T-MACH-109919 "Basics of Technical Logistics I". The contents are taught one after the other in one course in the winter semester. The individual exams are taken on one day at the end of the semester.

Competence Goal The student

• acquires well-founded knowledge on the main topics of technical logistics • gets an overview of different applications of technical logistics in practice, • acquires expertise and understanding about functionality of material handling systems.

Prerequisites none

Content The module Technical Logistics provides in-depth basics on the main topics of technical logistics. The module focuses on technical characteristics of material handling technology. To gain a deeper understanding, the course is accompanied by exercises.

Workload 270 hours

Learning type Lecture

Industrial Engineering and Management M.Sc. 162 Module Handbook as of 30/09/2021 6 MODULES Module: Transport Infrastructure Policy and Regional Development [M-WIWI-101485]

M 6.109 Module: Transport Infrastructure Policy and Regional Development [M- WIWI-101485]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: Economics Compulsory Elective Modules (Economics)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German/English 4 2

Election block: Compulsory Elective Courses (2 items) T-WIWI-103107 Spatial Economics 4,5 CR Ott T-WIWI-100007 Transport Economics 4,5 CR Mitusch, Szimba

Competence Certificate The assessment is carried out as partial exams (according to Section 4(2), 1 or 2 of the examination regulation) of the single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The exams are offered at the beginning of the recess period about the subject matter of the latest held lecture. Re-examinations are offered at every ordinary examination date. The assessment procedures are described for each course of the module separately. The overall grade for the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students

• understand the economic issues related to transport and regional development with a main focus on economic policy issues generated by the relationship of transport and regional development with the public sector • are able to compare different considerations of politics, regulation and the private sector and to analyse and assess the respective decision problems both qualitatively and by applying appropriate methods from economic theory • are prepared for careers in the public sector, particularly for public companies, politics, regulatory agencies, related consultancies, mayor construction companies or infrastructure project corporations

Prerequisites None

Content The development infrastructure (e.g. transport, energy, telecommunications) has always been one of the most relevant factors for economic development and particularly influences the development of the regional economy. From the repertoire of state actions, investments into transport infrastructure are often regarded the most important measure to foster regional economic growth. Besides the direct effects of transport policy on passenger and freight transport, a variety of individual economic activities is significantly dependent on the available or potential transport options. Decisions on the planning, financing and realization of mayor infrastructure projects require a solid and far-reaching consideration of direct and indirect growth effects with the occurring costs. Through its combination of lectures the module reflects the complex interdependencies between infrastructure policy, transport industry and regional policy and provides its participants with a comprehensive understanding of the functionalities of one of the most important sectors of the economy and its relevance for economic policy.

Annotation The courses Assessment of Public Policies and Projects I (winter term) and Assessment of Public Policies and Projects II (summer term) will no longer be part of this module. Student who have already had exams in this courses can integrate these exams in this module.

Workload The total workload for this module is approximately 270 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 163 Module Handbook as of 30/09/2021 6 MODULES Module: Transportation Modelling and Traffic Management [M-BGU-101065]

M 6.110 Module: Transportation Modelling and Traffic Management [M-BGU-101065]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German/English 4 4

Election block: Compulsory Examination (between 2 and 3 items as well as between 6 and 9 credits) T-BGU-101797 Methods and Models in Transportation Planning 3 CR Vortisch T-BGU-101798 Traffic Engineering 3 CR Vortisch T-BGU-101799 Traffic Management and Transport Telematics 3 CR Vortisch T-BGU-101800 Traffic Flow Simulation 3 CR Vortisch Election block: Electives (at most 1 item as well as between 0 and 3 credits) T-BGU-100010 Transportation Data Analysis 3 CR Kagerbauer T-BGU-106611 Freight Transport 3 CR Chlond T-BGU-106301 Long-Distance and Air Traffic 3 CR Chlond T-BGU-101005 Tendering, Planning and Financing in Public Transport 3 CR Vortisch T-BGU-100014 Seminar in Transportation 3 CR Chlond, Vortisch T-WIWI-103174 Seminar Mobility Services (Master) 3 CR Satzger, Stryja T-BGU-103425 Mobility Services and New Forms of Mobility 3 CR Kagerbauer T-BGU-103426 Strategic Transport Planning 3 CR Waßmuth T-BGU-106608 Information Management for Public Mobility Services 3 CR Vortisch T-BGU-111057 Sustainability in Mobility Systems 3 CR Kagerbauer

Competence Goal See German version.

Prerequisites None

Recommendation None

Industrial Engineering and Management M.Sc. 164 Module Handbook as of 30/09/2021 6 MODULES Module: Urban Water Technologies [M-BGU-104448]

M 6.111 Module: Urban Water Technologies [M-BGU-104448]

Responsible: PD Dr.-Ing. Stephan Fuchs Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each summer term 2 terms English 4 2

Mandatory T-BGU-106600 Urban Water Infrastructure and Management 6 CR Fuchs T-BGU-111299 Wastewater Treatment Technologies for Industrial Engineers 3 CR Fuchs

Prerequisites None

Recommendation None

Industrial Engineering and Management M.Sc. 165 Module Handbook as of 30/09/2021 6 MODULES Module: Vehicle Development [M-MACH-101265]

M 6.112 Module: Vehicle Development [M-MACH-101265]

Responsible: Prof. Dr. Frank Gauterin Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 1 term German/English 4 6

Election block: Vehicle Development (at least 9 credits) T-MACH-105156 Vehicle Mechatronics I 3 CR Ammon T-MACH-102207 Tires and Wheel Development for Passenger Cars 3 CR Leister T-MACH-111389 Fundamentals in the Development of Commercial Vehicles 3 CR Weber T-MACH-105162 Fundamentals of Automobile Development I 1,5 CR Frech T-MACH-105163 Fundamentals of Automobile Development II 1,5 CR Frech T-MACH-102156 Project Workshop: Automotive Engineering 4,5 CR Frey, Gauterin, Gießler T-MACH-110796 Python Algorithm for Vehicle Technology 4 CR Rhode T-MACH-105172 Simulation of Coupled Systems 4 CR Geimer, Xiang T-MACH-108888 Simulation of Coupled Systems - Advance 0 CR Geimer, Xiang This item will not influence the grade calculation of this parent. T-MACH-102148 Gear Cutting Technology 4 CR Klaiber

Competence Certificate The assessment is carried out as partial exams. The partial exams consists of a written exam (90 to 120 minutes) or an oral exam (duration 30 to 40 minutes).

Competence Goal The student

• knows and understands the procedures in automobile development, • knows and understands the technical specifications at the development procedures, • is aware of notable boundaries like legislation.

Prerequisites None

Content By taking the module Vehicle Development the students get to know the methods and processes applied in the automobile industry. They learn the technical particularities which have to be considered during the vehicle development and it is shown how the numerous single components cooperate in a harmoniously balanced complete vehicle. There is also paid attention on special boundary conditions like legal requirements.

Recommendation Knowledge of the content of the courses Engineering Mechanics I [2161238], Engineering Mechanics II [2162276] and Basics of Automotive Engineering I [2113805], Basics of Automotive Engineering II [2114835] is helpful.

Workload The total work load for this module is about 270 Hours (9 Credits). The partition of the work load is carried out according to the credit points of the courses of the module. The work load for courses with 6 credit points is about 180 hours, for courses with 4.5 credit points about 135 hours, for courses with 3 credit points about 90 hours, and for courses with 1.5 credit points about 45 hours. The total number of hours per course results from the time of visiting the lectures and exercises, as well as from the exam duration and the time that is required to achieve the objectives of the module as an average student with an average performance.

Learning type The teaching and learning procedures (lecture, lab course, workshop) are described for each course of the module separately.

Industrial Engineering and Management M.Sc. 166 Module Handbook as of 30/09/2021 6 MODULES Module: Virtual Engineering A [M-MACH-101283]

M 6.113 Module: Virtual Engineering A [M-MACH-101283]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Mandatory T-MACH-102123 Virtual Engineering I 4 CR Ovtcharova Election block: Virtual Engineering A (at least 5 credits) T-MACH-102185 CATIA CAD Training Course 2 CR Ovtcharova T-MACH-105312 CATIA Advanced 4 CR Ovtcharova T-MACH-108491 Digitalization of Products, Services & Production 4 CR Pätzold T-MACH-102209 Information Engineering 3 CR Ovtcharova T-MACH-106743 IoT Platform for Engineering 4 CR Ovtcharova T-MACH-102181 PLM for Product Development in Mechatronics 4 CR Eigner T-MACH-106740 Virtual Engineering Lab 4 CR Ovtcharova T-MACH-106741 Virtual Training Factory 4.X 4 CR Ovtcharova T-MACH-111285 Virtual Solution Methods and Processes 4 CR Maier, Ovtcharova

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students should:

• have basic knowledge about the industrial application of Information Technology in product development, • have understanding about current and future application of information systems in product development processes in the context of Product Lifecycle Management and Virtual Engineering, • be able to operate current CAx- and PLM-systems in the product development process • understands demands and relevance of interconnected IT-systems and respective methods for product development

Prerequisites None

Content The Module Virtual Engineering A gives an overview about product development processes, beginning with requirement engineering, verification of manufacturing feasibility and virtual operation in the scope of Digital Factory. The guest-lectures contained in this module complete the content of the lecture with introducing current product development processes focusing.

Workload

• regular attendance: 140 hours • Preparation and reworking: 20 hours • Exam and exam revision/preparation: 110 hours

Learning type Lecture, exercise

Industrial Engineering and Management M.Sc. 167 Module Handbook as of 30/09/2021 6 MODULES Module: Virtual Engineering B [M-MACH-101281]

M 6.114 Module: Virtual Engineering B [M-MACH-101281]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each term 2 terms German 4 5

Mandatory T-MACH-102124 Virtual Engineering II 4 CR Ovtcharova Election block: Virtual Engineering B (at least 5 credits) T-MACH-102185 CATIA CAD Training Course 2 CR Ovtcharova T-MACH-105312 CATIA Advanced 4 CR Ovtcharova T-MACH-108491 Digitalization of Products, Services & Production 4 CR Pätzold T-MACH-102209 Information Engineering 3 CR Ovtcharova T-MACH-106743 IoT Platform for Engineering 4 CR Ovtcharova T-MACH-102181 PLM for Product Development in Mechatronics 4 CR Eigner T-MACH-106740 Virtual Engineering Lab 4 CR Ovtcharova T-MACH-106741 Virtual Training Factory 4.X 4 CR Ovtcharova T-MACH-111285 Virtual Solution Methods and Processes 4 CR Maier, Ovtcharova

Competence Certificate The assessment is carried out as partial exams (according to Section 4 (2), 1-3 SPO) of the core course and further single courses of this module, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately. The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.

Competence Goal The students should:

• have basic knowledge about industrial practice of Information Technology in the field of product development, • have basic knowledge about innovative visualization techniques like Virtual Reality and feasible application of Virtual Mock-Ups (VMU) for validating product properties. • Is able to estimate potentials and risks of current Virtual Reality Systems in product development. • understands demands and relevance of interconnected IT-systems and respective methods for product development

Prerequisites keine

Content The module Virtual Engineering B communicates basics of Virtual Reality applications and their fields of application for validating product properties and for supporting product development processes. Optional courses of this module complete the content with practical application of VR techniques in product development (Virtual Reality Exercise) and current product development processes.

Workload Workload at 9 graduate credits / credit points: ca. 270 hours.

• regular attendance: 100 hours • Preparation and reworking: 50 hours • Exam and exam revision/preparation: 120 hours

Detailed apportionment results from credit points of the courses of the module

Industrial Engineering and Management M.Sc. 168 Module Handbook as of 30/09/2021 6 MODULES Module: Virtual Engineering B [M-MACH-101281]

Learning type Lecture, Exercise.

Industrial Engineering and Management M.Sc. 169 Module Handbook as of 30/09/2021 6 MODULES Module: Water Chemistry and Water Technology I [M-CIWVT-101121]

M 6.115 Module: Water Chemistry and Water Technology I [M-CIWVT-101121]

Responsible: Prof. Dr. Harald Horn Organisation: KIT Department of Chemical and Process Engineering Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Language Level Version 9 Grade to a tenth Each winter term 1 term German/English 4 1

Mandatory T-CIWVT-101900 Water Chemistry and Water Technology I 6 CR Horn T-CIWVT-103351 Laboratory Work Water Chemistry 4 CR Abbt-Braun, Horn

Competence Goal The student

• has knowledge of types and sum of the water constituents and their interaction with each other and with the water molecules, • knows and understands the basics of water chemistry and the most important methods for the treatment of different types of raw water.

Prerequisites none

Content This module gives the basis to understand the most important methods of raw water treatment. Therefore types and sum of water constituents and their interaction with each other and with water molecules are introduced. The effects of the different treatment and purification methods are shown

Industrial Engineering and Management M.Sc. 170 Module Handbook as of 30/09/2021 6 MODULES Module: Water Chemistry and Water Technology II [M-CIWVT-101122]

M 6.116 Module: Water Chemistry and Water Technology II [M-CIWVT-101122]

Responsible: Prof. Dr. Harald Horn Organisation: KIT Department of Chemical and Process Engineering Part of: Engineering Sciences Compulsory Elective Modules (Engineering Sciences)

Credits Grading scale Recurrence Duration Level Version 9 Grade to a tenth Each term 2 terms 4 2

Mandatory T-CIWVT-108841 Water Quality Assessment 6 CR Abbt-Braun T-CIWVT-110864 Excursions: Membrane Technologies 1 CR Horn, Saravia T-CIWVT-110865 Membrane Technologies in Water Treatment 5 CR Horn, Saravia

Competence Goal The student

• has knowledge of types and sum of the water constituents and their interaction with each other and with the water molecules, • is able to explain the interrelationships of the occurrence of geogenic and anthropogenic substances as well as of microorganisms in the different areas of the hydrological cycle and is able to select suitable analytical methods for their determination, • knows about the different types of water treatment and water purification methods to convert, reduce or concentrate water constituents, especially for membrane processes, • is able to use methodical tools, analyze the correlations and critically evaluate the critically evaluate the different procedures.

Prerequisites The Module "Water Chemistry and Water Technology I" must be passed.

Content The types of water, water law, basic terms of water chemical analysis, analysis quality, sampling, rapid test procedures and general investigation methods as well as summary parameters are dealt with. The analytical methods for main and secondary constituents as well as for organic and inorganic trace substances are discussed with examples for orientation. The effects of the different treatment and purification methods are shown and it is explained how they can convert, reduce or concentrate water constituents.

Industrial Engineering and Management M.Sc. 171 Module Handbook as of 30/09/2021 7 COURSES

7 Courses

T 7.1 Course: Extrusion Technology [T-CIWVT-111435]

Responsible: Dr.-Ing. Azad Emin Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101119 - Specialization in Food Process Engineering M-CIWVT-101120 - Principles of Food Process Engineering

Type Credits Grading scale Recurrence Version Written examination 1,5 Grade to a third Each summer term 1

Events

ST 2021 22246 Extrusion technology in food 1 SWS Lecture / 🖥 Emin processing Exams ST 2021 7220032 Extrusion Technology Emin

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 172 Module Handbook as of 30/09/2021 7 COURSES Course: A Closer Look at Social Innovation [T-WIWI-109932]

T 7.2 Course: A Closer Look at Social Innovation [T-WIWI-109932]

Responsible: Dr. Daniela Beyer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate Non exam assessment (following §4(2) 3 of the examination regulation). The grade consists of an innovation plan (comparable to an exposé) (15%), a guideline interview (25%), a presentation of the results (20%) and a seminar paper (40%).

Prerequisites None

Recommendation The previous attendance of the lecture Innovation Management is recommended.

Industrial Engineering and Management M.Sc. 173 Module Handbook as of 30/09/2021 7 COURSES Course: Additives and Active Substances [T-CIWVT-111434]

T 7.3 Course: Additives and Active Substances [T-CIWVT-111434]

Responsible: Dr.-Ing. Ulrike van der Schaaf Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101119 - Specialization in Food Process Engineering M-CIWVT-101120 - Principles of Food Process Engineering

Type Credits Grading scale Recurrence Version Written examination 1,5 Grade to a third Each summer term 1

Events

ST 2021 22209 1 SWS Lecture / 🖥 van der Schaaf Exams ST 2021 7220031 Additives and active substances van der Schaaf

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 174 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Empirical Asset Pricing [T-WIWI-110513]

T 7.4 Course: Advanced Empirical Asset Pricing [T-WIWI-110513]

Responsible: Jun.-Prof. Dr. Julian Thimme Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2530569 Advanced Empirical Asset Pricing 2 SWS Lecture Thimme WT 21/22 2530570 Übung zu Advanced Empirical Asset 1 SWS Practice Thimme Pricing Exams WT 21/22 7900319 Advanced Empirical Asset Pricing Thimme

Competence Certificate The success control takes place in form of a written examination (60 min) during the semester break (according to §4(2), 1 SPO). If the number of participants is low, an oral examination (according to §4 (2), 2 SPO) may also be offered. The examination is offered every semester and can be repeated at any regular examination date. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by up to one grade level (0.3 or 0.4). Details will be announced in the lecture.

Recommendation We strongly recommend knowledge of the basic topics in investments (bachelor course), which will be necessary to be able to follow the course. In addition, prior participation in the Asset Pricing Master course is strongly recommended.

Annotation New course from winter semester 2019/2020.

Below you will find excerpts from events related to this course:

Advanced Empirical Asset Pricing V Lecture (V) 2530569, WS 21/22, 2 SWS, Language: English, Open in study portal

Content In this course we will discuss the fundamentals of Asset Pricing and how to test them. Although this is an Empirical Asset Pricing course, we deal with some concepts from Asset Pricing Theory that we can test afterwards (CAPM, ICAPM, CCAPM, recursive utility). Besides, the course will cover the most important empirical methods to do so. For that purpose, we will discuss the overarching tool Generalized Method of Moments, and the special cases of OLS and FMB regressions. Every second week, we will meet for a programing session, in which we will look at the data to draw our own conclusions. An introduction to the software MATLAB will be given at the beginning of the course. Students should bring a laptop to these sessions. Programing skills are not required but helpful. We start with a review of the Stochastic Discount Factor, which is already known from the course „Asset Pricing“. We then derive the CAPM and the Consumption-CAPM as special cases from the general consumption-savings optimization problem of the rational investor. In the first part of the course we discuss the CAPM and, as natural extensions, models with multiple factors. Prominent phenomena such as the value premium and momentum are discussed. In the second part of the lecture we will study extensions of Consumption-CAPM and study the implications of exotic preferences.

Literature Basisliteratur Asset pricing / Cochrane, J.H. - Rev. ed., Princeton Univ. Press, 2005. zur Vertiefung/ Wiederholung Investments and Portfolio Management / Bodie, Z., Kane, A., Marcus, A.J. - 9. ed., McGraw-Hill, 2011. The econometrics of financial markets / Campbell, J.Y., Lo, A.W., MacKinlay, A.C. - 2. printing, with corrections, Princeton Univ. Press, 1997.

Industrial Engineering and Management M.Sc. 175 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Food Processing [T-CIWVT-100152]

T 7.5 Course: Advanced Food Processing [T-CIWVT-100152]

Responsible: Dr. Volker Gaukel Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101120 - Principles of Food Process Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 22214 Vertiefung verfahrenstechnischer 2 SWS Lecture / 🖥 Gaukel Grundlagen am Beispiel Lebensmittel Exams ST 2021 7220004 Advanced Food Processing Gaukel ST 2021 72200041 Advanced Food Processing Gaukel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 176 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Game Theory [T-WIWI-102861]

T 7.6 Course: Advanced Game Theory [T-WIWI-102861]

Responsible: Prof. Dr. Karl-Martin Ehrhart Prof. Dr. Clemens Puppe Prof. Dr. Johannes Philipp Reiß Organisation: KIT Department of Economics and Management Part of: M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101500 - Microeconomic Theory M-WIWI-101502 - Economic Theory and its Application in Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events

WT 21/22 2521533 Advanced Game Theory 2 SWS Lecture / 🖥 Reiß WT 21/22 2521534 Übung zu Advanced Game Theory 1 SWS Practice / 🖥 Reiß, Peters Exams ST 2021 7900294 Advanced Game Theory Puppe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2), 1 of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date.

Prerequisites None

Recommendation Basic knowledge of mathematics and statistics is assumed.

Below you will find excerpts from events related to this course:

Advanced Game Theory V Lecture (V) 2521533, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 177 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Blockchain Hackathon (Master) [T-WIWI-111126]

T 7.7 Course: Advanced Lab Blockchain Hackathon (Master) [T-WIWI-111126]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 1

Events

WT 21/22 2512403 Advanced Lab Blockchain Practical course / 🖥 Sunyaev, Hackathon (Bachelor) Kannengießer, Sturm, Beyene Exams WT 21/22 7900141 Advanced Lab Blockchain Hackathon (Master) Sunyaev

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and • a written seminar thesis

Practical work, presentation and written thesis are weighted according to the course.

Prerequisites None

Industrial Engineering and Management M.Sc. 178 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

T 7.8 Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

Responsible: Professorenschaft des Instituts AIFB Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 1

Events ST 2021 2512205 Lab Realisation of innovative 3 SWS Practical course / 🧩 Oberweis, Schiefer, services (Master) Schüler, Toussaint

ST 2021 2512207 Lab Automation in Everyday Life 3 SWS Practical course / 🖥 Oberweis, Forell, (Master) Frister

ST 2021 2512401 Development of Sociotechnical 3 SWS Practical course / 🖥 Sunyaev, Pandl Information Systems (Master)

ST 2021 2512403 Advanced Lab Blockchain Practical course / 🖥 Sunyaev, Beyene, Hackathon (Master) Kannengießer ST 2021 2512500 Project Lab Machine Learning 3 SWS Practical course / 🧩 Zöllner

ST 2021 2512555 Practical lab Security, Usability and 3 SWS Practical course / 🖥 Strufe, Mayer, Arias Society (Master) Cabarcos, Berens, Mossano, Düzgün, Beckmann WT 21/22 2512205 Lab Realisation of innovative 3 SWS Practical course Oberweis, Toussaint, services (Master) Schüler, Schiefer

WT 21/22 2512401 Practical Course Sociotechnical 3 SWS Practical course / 🖥 Sunyaev, Pandl, Goram Information Systems Development (Master)

WT 21/22 2512403 Advanced Lab Blockchain Practical course / 🖥 Sunyaev, Hackathon (Bachelor) Kannengießer, Sturm, Beyene WT 21/22 2512501 Practical Course Cognitive 3 SWS Practical course Zöllner, Daaboul automobiles and robots (Master) WT 21/22 2512557 Practical Course Security (Master) 4 SWS Practical course Baumgart, Volkamer, Mayer, Leinweber, Schiffl WT 21/22 2512600 Project lab Information Service 3 SWS Practical course Sack Engineering (Master) Exams ST 2021 7900020 Lab Automation in Everyday Life (Master) Oberweis ST 2021 7900086 Project Lab Machine Learning Zöllner ST 2021 7900148 Advanced Lab Realization of innovative services (Master) Oberweis ST 2021 7900172 Lab Blockchain Hackathon (Master) Sunyaev ST 2021 7900173 Advanced Lab Development of Sociotechnical Information Systems Sunyaev (Master) ST 2021 7900178 Practical lab Security, Usability and Society (Master) Volkamer WT 21/22 7900046 Advanced Lab Security (Master) Volkamer WT 21/22 7900102 Advanced Lab Information Service Engineering Sack WT 21/22 7900107 Advanced Lab Cognitive Automobile and Robots (Master) Zöllner WT 21/22 7900141 Advanced Lab Blockchain Hackathon (Master) Sunyaev WT 21/22 7900143 Advanced Lab Development of Sociotechnical Information Systems Sunyaev (Master)

Industrial Engineering and Management M.Sc. 179 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

WT 21/22 7900306 Advanced Lab Realization of Innovative Services (Master) Oberweis WT 21/22 7900307 Advanced Lab Security, Usability and Society (Master) Volkamer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and • a written seminar thesis

Practical work, presentation and written thesis are weighted according to the course.

Prerequisites None

Annotation The title of this course is a generic one. Specific titles and the topics of offered seminars will be announced before the start of a semester in the internet at https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Lab Realisation of innovative services (Master) V Practical course (P) 2512205, SS 2021, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content As part of the lab, the participants should work together in small groups to realize innovative services (mainly for students). Further information can be found on the ILIAS page of the lab.

Organizational issues Die genauen Termine und Informationen zur Anmeldung werden auf der Veranstaltungsseite bekannt gegeben.

Lab Automation in Everyday Life (Master) V Practical course (P) 2512207, SS 2021, 3 SWS, Language: German, Open in study portal Online

Content As part of the lab, various topics on everyday automation are offered. During the lab, the participants will gain an insight into problem-solving oriented project work and work on a project together in small groups. Further information can be found on the ILIAS page of the lab.

Organizational issues Die genauen Termine und Informationen zur Anmeldung werden auf der Veranstaltungsseite bekannt gegeben.

Development of Sociotechnical Information Systems (Master) V Practical course (P) 2512401, SS 2021, 3 SWS, Language: German/English, Open in study portal Online

Content The aim of the lab is to get to know the development of socio-technical information systems in different application areas. In the event framework, you should develop a suitable solution strategy for your problem alone or in group work, collect requirements, and implement a software artifact based on it (for example, web platform, mobile apps, desktop application). Another focus of the lab is on the subsequent quality assurance and documentation of the implemented software artifact. Registration information will be announced on the course page.

Project Lab Machine Learning V Practical course (P) 2512500, SS 2021, 3 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 180 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

Content The lab is intended as a practical supplement to lectures such as "Machine Learning". The theoretical basics are applied in the lab course. The aim of the lab course is that the participants work together to design, develop and evaluate a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. In addition to the scientific objectives involved in the investigation and application of the methods, aspects of project-specific teamwork in research (from specification to presentation of the results) are also developed in this practical course. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and implementation and evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can practically apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles. • Students master the analysis and solution of corresponding problems in a team. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning, C/C++ knowledge, Python knowledge Workload: The workload of 4.5 credit points consists of the time spent in the lab for practical implementation of the selected solution, as well as the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Practical lab Security, Usability and Society (Master) V Practical course (P) 2512555, SS 2021, 3 SWS, Language: German/English, Open in study portal Online

Industrial Engineering and Management M.Sc. 181 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

Content The internship "Security, Usability and Society" will cover topics both of usable security and privacy programming, and how to conduct user studies. This internship will be only in English. The kick-off, the presentations, and every written material to be graded must be in English. Communications with supervisors can be in German. WiWi link: https://portal.wiwi.kit.edu/ys/4629 Important dates: Kick-off: 06.04.2021, 10:00-11:00 CET in Microsoft Teams - Link Report + code submission : 07.09.2021, 23:59 CET Presentation deadline : 20.09.2021, 23:59 CET Presentation day: 24.09.2021, 09:00 CET Topics: Privacy Friendly apps In this subject, students complete an app (or an extension of an app) among our Privacy-Friendly Apps. Please click the following link to know more about them: https://secuso.aifb.kit.edu/english/105.php . Students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Notes 2.0

Programming Usable Security Intervention In this subject, students develop a part of coding, an extension, or another programming task dealing with various usable security interventions, eg as an extension. Eg TORPEDO ( https://secuso.aifb.kit.edu/english/TORPEDO.php ) or PassSec + ( https:// secuso.aifb.kit.edu/english/PassSecPlus.php ). Just as before, students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Password Manager Enrolment Add-On • Portfolio Graphical Recognition-Based Passwords with Gamepads • Visualization app to explore Facebook behavioral data collection • Authenticating on AR glasses: Implementing an authentication scheme for the Google Glass

Designing Security User studies (online studies only) These topics are related to how to set up and conducting user studies of various types. This year, due to the Corona outbreak, we decided to conduct online studies only; otherwise, interviews and in lab studies would have been possible. At the end of the semester, the students present a report / paper and a talk in which they present their results.

• Neurotechnologies, Neuroprivacy, and User Acceptance • Expert feedback for an anti-phishing webpage template (English only) • "Your website has been hacked“ - How to inform business owners about security issues on their webpages in more sensitive ways

Please, note that registration is not required to participate in the kick-off meeting. This event counts towards the KASTEL certificate. Further information on how to obtain the certificate can be found on the SECUSO website https://secuso.aifb.kit.edu/Studium_und_Lehre.php) .

Lab Realisation of innovative services (Master) V Practical course (P) 2512205, WS 21/22, 3 SWS, Language: German, Open in study portal

Content As part of the lab, the participants should work together in small groups to realize innovative services (mainly for students). Further information can be found on the ILIAS page of the lab.

Organizational issues Die genauen Termine und Informationen zur Anmeldung werden auf der Veranstaltungsseite bekannt gegeben.

Practical Course Sociotechnical Information Systems Development (Master) V Practical course (P) 2512401, WS 21/22, 3 SWS, Language: German/English, Open in study portal Online

Industrial Engineering and Management M.Sc. 182 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

Content The aim of this course is to provide a practical introduction into developing socio-technical information systems, such as web platforms, mobile apps, or desktop applications. Course participants will create (individually or in groups) software solutions for specific problems from various practical domains. The course tasks comprise requirements assessment, system design, and software implementation. Furthermore, course participants will gain insights into software quality assurance methods and software documentation. Learning objectives:

• Independent and self-organized realization of a software development project • Evaluation and selection of suitable development tools and methods • Application of modern software development methods • Planning and execution of different development tasks: requirements assessment, system design, implementation, and quality assurance • Project documentation • Presentation of project results in an comprehensible and structured form

Practical Course Cognitive automobiles and robots (Master) V Practical course (P) 2512501, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content The lab is intended as a practical supplement to lectures such as "Machine Learning". The theoretical basics are applied in the lab course. The aim of the lab course is that the participants work together to design, develop and evaluate a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. In addition to the scientific objectives involved in the investigation and application of the methods, aspects of project-specific teamwork in research (from specification to presentation of the results) are also developed in this practical course. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and implementation and evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can practically apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles. • Students master the analysis and solution of corresponding problems in a team. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning, C/C++ knowledge, Python knowledge Workload: The workload of 4.5 credit points consists of the time spent in the lab for practical implementation of the selected solution, as well as the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Practical Course Security (Master) V Practical course (P) 2512557, WS 21/22, 4 SWS, Language: German, Open in study portal

Content The lab deals with the IT security of everyday utensils. Implemented security mechanisms are first theoretically investigated and put to the test with practical attacks. Finally, countermeasures and suggestions for improvement are worked out. The lab is offered within the competence center for applied security technologies (KASTEL) and is supervised by several institutes. The success control takes the form of a final presentation, a thesis and the handing over of the developed code. More information on ILIAS.

Project lab Information Service Engineering (Master) V Practical course (P) 2512600, WS 21/22, 3 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 183 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Informatics (Master) [T-WIWI-110548]

Content The ISE project lab is based on the summer semester lecture "Information Service Engineering". Goal of the course is to work on a given research problem in small groups (3-4 students) related to the ISE lecture topics, i.e. Natural Language Processing, Knowledge Graphs, and Machine Learning. The solution of the given research problem requires the development of a software implementation. The project will be worked on in teams of 3-4 students each, guided by a tutor from the teaching staff. Required coursework includes:

• Mid term presentation (5-10 min) • Final presentation (10-15 min) • Course report (c. 20 pages) • Participation and contribution of the students during the course • Software development and delivery

Notes: The ISE project lab can also be credited as a seminar (if necessary). The project will be worked on in teams of 3-4 students each, guided by a tutor from the teaching staff. Participation will be restricted to 15 students. Participation in the lecture "Information Service Engineering" (summer semester) is required. There are video recordings on our youtube channel. ISE Tutor Team:

• M. Sc. Russa Biswas • M. Sc. Genet Asefa Gesese • M. Sc. Oleksandra Bruns • M. Sc. Yiyi Chen • M. Sc. Mary Ann Tan • B. Sc. Tabea Tietz

Literature ISE video channel on youtube: https://www.youtube.com/channel/UCjkkhNSNuXrJpMYZoeSBw6Q/

Industrial Engineering and Management M.Sc. 184 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Security [T-WIWI-109786]

T 7.9 Course: Advanced Lab Security [T-WIWI-109786]

Responsible: Prof. Dr. Melanie Volkamer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 2

Events WT 21/22 2512557 Practical Course Security (Master) 4 SWS Practical course Baumgart, Volkamer, Mayer, Leinweber, Schiffl Exams WT 21/22 7900046 Advanced Lab Security (Master) Volkamer

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and possibly • a written seminar thesis

Practical work, presentation and written thesis are weighted according to the course.

Prerequisites None

Recommendation Knowledge from the lecture "Information Security" is recommended.

Below you will find excerpts from events related to this course:

Practical Course Security (Master) V Practical course (P) 2512557, WS 21/22, 4 SWS, Language: German, Open in study portal

Content The lab deals with the IT security of everyday utensils. Implemented security mechanisms are first theoretically investigated and put to the test with practical attacks. Finally, countermeasures and suggestions for improvement are worked out. The lab is offered within the competence center for applied security technologies (KASTEL) and is supervised by several institutes. The success control takes the form of a final presentation, a thesis and the handing over of the developed code. More information on ILIAS.

Industrial Engineering and Management M.Sc. 185 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Security, Usability and Society [T-WIWI-108439]

T 7.10 Course: Advanced Lab Security, Usability and Society [T-WIWI-108439]

Responsible: Prof. Dr. Melanie Volkamer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2612554 Practical lab Security, Usability and 3 SWS Practical course / 🖥 Strufe, Mayer, Arias Society (Bachelor) Cabarcos, Berens, Mossano, Beckmann WT 21/22 2500024 Praktikum Security, Usability and 3 SWS Practical course Volkamer, Mayer, Society (Master) Ghiglieri , Aldag, Beckmann, Mossano WT 21/22 2512554 Praktikum Security, Usability and 3 SWS Practical course Volkamer, Mayer, Society (Bachelor) Ghiglieri , Aldag, Beckmann, Mossano Exams ST 2021 7900029 Practical lab Security, Usability and Society (Bachelor) Volkamer WT 21/22 7900116 Advanced Lab Security, Usability and Society (Bachelor) Volkamer WT 21/22 7900307 Advanced Lab Security, Usability and Society (Master) Volkamer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and possibly • a written seminar thesis

Practical work, presentation and written thesis are weighted according to the course.

Prerequisites None

Recommendation Knowledge from the lecture "Information Security" is recommended.

Annotation The course is expected to be offered from winter term 2018/2019. Contents: In the course of the programming lab, changing topics from the field of Human Factors in Security und Privacy will be worked on. Learning goals: The student

• can apply the basics of information security • is able to implement appropriate measures to achieve different protection goals • can structure a software project in the field of information security • can use the Human Centred Security and Privacy by Design technique to develop user-friendly software • can explain and present technical facts and the results of the programming lab in oral and written form

Below you will find excerpts from events related to this course:

Industrial Engineering and Management M.Sc. 186 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Security, Usability and Society [T-WIWI-108439]

Practical lab Security, Usability and Society (Bachelor) V Practical course (P) 2612554, SS 2021, 3 SWS, Language: German/English, Open in study portal Online

Content The internship "Security, Usability and Society" will cover topics both of usable security and privacy programming, and how to conduct user studies. This internship will be only in English. The kick-off, the presentations, and every written material to be graded must be in English. Communications with supervisors can be in German. WiWi portal: https://portal.wiwi.kit.edu/ys/4628 Important dates: Kick-off: 06.04.2021, 10:00-11:00 CET in Microsoft Teams - Link Report + code submission : 07.09.2021, 23:59 CET Presentation deadline : 20.09.2021, 23:59 CET Presentation day: 24.09.2021, 09:00 CET Topics: Privacy Friendly apps In this subject, students complete an app (or an extension of an app) among our Privacy-Friendly Apps. Please click the following link to know more about them: https://secuso.aifb.kit.edu/english/105.php . Students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Notes 2.0

Programming Usable Security Intervention In this subject, students develop a part of coding, an extension, or another programming task dealing with various usable security interventions, eg as an extension. Eg TORPEDO ( https://secuso.aifb.kit.edu/english/TORPEDO.php ) or PassSec + ( https:// secuso.aifb.kit.edu/english/PassSecPlus.php ). Just as before, students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Password Manager Enrolment Add-On • Portfolio Graphical Recognition-Based Passwords with Gamepads • Visualization app to explore Facebook behavioral data collection

Designing Security User studies (online studies only) These topics are related to how to set up and conducting user studies of various types. This year, due to the Corona outbreak, we decided to conduct online studies only; otherwise, interviews and in lab studies would have been possible. At the end of the semester, the students present a report / paper and a talk in which they present their results.

• Neurotechnologies, Neuroprivacy, and User Acceptance • Expert feedback for an anti-phishing webpage template (English only) • "Your website has been hacked“ - How to inform business owners about security issues on their webpages in more sensitive ways

Please, note that registration is not required to participate in the kick-off meeting. This event counts towards the KASTEL certificate. Further information on how to obtain the certificate can be found on the SECUSO website https://secuso.aifb.kit.edu/Studium_und_Lehre.php) .

Praktikum Security, Usability and Society (Master) V Practical course (P) 2500024, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Industrial Engineering and Management M.Sc. 187 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Security, Usability and Society [T-WIWI-108439]

Content The internship "Security, Usability and Society" will cover topics both of usable security and privacy programming, and how to conduct user studies. To reserve a place, please, register on hte WiWi portal and send an email with your chosen topic, plus a back- up one, to [email protected] . Topics are assigned first-come-first-served until all of them are filled. Topics in italics have been already assigned. Important dates: Kick-off: 04.10.2021, 10:00-11:00 CET in Microsoft Teams - Link Report + code submission : 06.02.2022, 23:59 CET Presentation deadline : 06.02.2022, 23:59 CET Presentation day: 08.02.2022 Topics: Privacy Friendly apps In this subject, students complete an app (or an extension of an app) among our Privacy-Friendly Apps. Please click the following link to know more about them: https://secuso.aifb.kit.edu/english/105.php . Students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Notes 2.0

Programming Usable Security Intervention In this subject, students develop a part of coding, an extension, or another programming task dealing with various usable security interventions, eg as an extension. Eg TORPEDO ( https://secuso.aifb.kit.edu/english/TORPEDO.php ) or PassSec + ( https:// secuso.aifb.kit.edu/english/PassSecPlus.php ). Just as before, students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Password Manager Enrolment Add-On • Portfolio Graphical Recognition-Based Passwords with Gamepads • Cookie Consent Manager for Websites

Designing Security User studies (online studies only) These topics are related to how to set up and conducting user studies of various types. This year, due to the Corona outbreak, we decided to conduct online studies only; otherwise, interviews and in lab studies would have been possible. At the end of the semester, the students present a report / paper and a talk in which they present their results.

• How to display URLs to support people's ability to detect phishing (English) • Studying the Effect of Static vs. Dynamic Phishing Detection • How effective are QR-scanners in helping users detecting phishing emails?

Please, note that registration is not required to participate in the kick-off meeting. This event counts towards the KASTEL certificate. Further information on how to obtain the certificate can be found on the SECUSO website https://secuso.aifb.kit.edu/Studium_und_Lehre.php) .

Praktikum Security, Usability and Society (Bachelor) V Practical course (P) 2512554, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Industrial Engineering and Management M.Sc. 188 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Security, Usability and Society [T-WIWI-108439]

Content The internship "Security, Usability and Society" will cover topics both of usable security and privacy programming, and how to conduct user studies. To reserve a place, please, register on hte WiWi portal and send an email with your chosen topic, plus a back- up one, to [email protected] . Topics are assigned first-come-first-served until all of them are filled. Topics in italics have been already assigned. Important dates: Kick-off: 04.10.2021, 10:00-11:00 CET in Microsoft Teams - Link Report + code submission : 06.02.2022, 23:59 CET Presentation deadline : 06.02.2022, 23:59 CET Presentation day: 08.02.2022 Topics: Privacy Friendly apps In this subject, students complete an app (or an extension of an app) among our Privacy-Friendly Apps. Please click the following link to know more about them: https://secuso.aifb.kit.edu/english/105.php . Students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Notes 2.0

Programming Usable Security Intervention In this subject, students develop a part of coding, an extension, or another programming task dealing with various usable security interventions, eg as an extension. Eg TORPEDO ( https://secuso.aifb.kit.edu/english/TORPEDO.php ) or PassSec + ( https:// secuso.aifb.kit.edu/english/PassSecPlus.php ). Just as before, students are provided with a point list of goals, containing both basic features mandatory to pass the course and more advanced ones that heighten the final grade.

• Password Manager Enrolment Add-On • Portfolio Graphical Recognition-Based Passwords with Gamepads • Cookie Consent Manager for Websites

Designing Security User studies (online studies only) These topics are related to how to set up and conducting user studies of various types. This year, due to the Corona outbreak, we decided to conduct online studies only; otherwise, interviews and in lab studies would have been possible. At the end of the semester, the students present a report / paper and a talk in which they present their results.

• How to display URLs to support people's ability to detect phishing (English) • Studying the Effect of Static vs. Dynamic Phishing Detection • How effective are QR-scanners in helping users detecting phishing emails?

Please, note that registration is not required to participate in the kick-off meeting. This event counts towards the KASTEL certificate. Further information on how to obtain the certificate can be found on the SECUSO website https://secuso.aifb.kit.edu/Studium_und_Lehre.php) .

Industrial Engineering and Management M.Sc. 189 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Lab Sociotechnical Information Systems Development (Master) [T-WIWI-111125]

T 7.11 Course: Advanced Lab Sociotechnical Information Systems Development (Master) [T-WIWI-111125]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 1

Events

WT 21/22 2512401 Practical Course Sociotechnical 3 SWS Practical course / 🖥 Sunyaev, Pandl, Goram Information Systems Development (Master) Exams WT 21/22 7900143 Advanced Lab Development of Sociotechnical Information Systems Sunyaev (Master)

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and • a written seminar thesis

Practical work, presentation and written thesis are weighted according to the course.

Prerequisites None

Below you will find excerpts from events related to this course:

Practical Course Sociotechnical Information Systems Development (Master) V Practical course (P) 2512401, WS 21/22, 3 SWS, Language: German/English, Open in study portal Online

Content The aim of this course is to provide a practical introduction into developing socio-technical information systems, such as web platforms, mobile apps, or desktop applications. Course participants will create (individually or in groups) software solutions for specific problems from various practical domains. The course tasks comprise requirements assessment, system design, and software implementation. Furthermore, course participants will gain insights into software quality assurance methods and software documentation. Learning objectives:

• Independent and self-organized realization of a software development project • Evaluation and selection of suitable development tools and methods • Application of modern software development methods • Planning and execution of different development tasks: requirements assessment, system design, implementation, and quality assurance • Project documentation • Presentation of project results in an comprehensible and structured form

Industrial Engineering and Management M.Sc. 190 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Machine Learning [T-WIWI-109921]

T 7.12 Course: Advanced Machine Learning [T-WIWI-109921]

Responsible: Prof. Dr. Andreas Geyer-Schulz Dr. Abdolreza Nazemi Organisation: KIT Department of Economics and Management Part of: M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540535 Advanced Machine Learning 2 SWS Lecture / 🖥 Nazemi ST 2021 2540536 Exercise Advanced Machine 1 SWS Practice / 🖥 Nazemi Learning Exams ST 2021 7900227 Advanced Machine Learning Geyer-Schulz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.

Prerequisites None

Below you will find excerpts from events related to this course:

Advanced Machine Learning V Lecture (V) 2540535, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 191 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Machine Learning [T-WIWI-109921]

Content In recent years, the volume, variety, velocity, veracity, and variability of available data have increased due to improvements in computational and storage power. The rise of the Internet has made available large sets of data that allow us to use and merge them for different purposes. Data science helps us to extract knowledge from the continually-increasing large datasets. This course will introduce students to a wide range of machine learning and statistical techniques such as deep learning, LASSO, and support vector machine. You will get familiar with text mining, and the tools you need to analyze the various facets of data sets in practice. Students will learn theory and concepts with real data sets from different disciplines such as marketing, finance, and business. Tentative Course Outline:

• Introduction • Statistical Inference • Shrinkage Methods • Model Assessment and Selection • Tree-based Machine Learning Algorithms • Dimensionality Reduction • Neural Networks and Deep Learning • Natural Language Processing with Deep Learning • Support Vector Machine

Time of attendance

• Attending the lecture: 13 x 90min = 19h 30m • Attending the exercise classes: 7 x 90min = 10h 30m

The student will learn

• A wide range of machine learning algorithms and their weaknesses. • The fundamental issues and challenges: data, high-dimension, train, model selection, etc. • How to imply machine learning algorithms for real-world applications. • The fundamentals of deep learning, main research activities, and on-going research in this field.

Literature

• Alpaydin, E. (2014). Introduction to Machine Learning. Third Edition, MIT Press. • De Prado, M. L. (2018). Advances in Financial Machine Learning. John Wiley & Sons. • Goodfellow, I., Bengio, Y., and A. Courville (2017). Deep Learning. MIT Press. (online available) • Hastie, T., Tibshirani, R., and J. Friedman (2009). Elements of Statistical Learning. Second Edition. Springer. (online available) • Leskovec, J., Rajaraman, A., Ullman, J. D., (2014). Mining of Massive Datasets. Cambridge University Press. (online available) • Witten, I. H., Eibe, F., Hall, M. A., Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann.

Industrial Engineering and Management M.Sc. 192 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Machine Learning and Data Science [T-WIWI-111305]

T 7.13 Course: Advanced Machine Learning and Data Science [T-WIWI-111305]

Responsible: Prof. Dr. Maxim Ulrich Organisation: KIT Department of Economics and Management Part of: M-WIWI-105659 - Advanced Machine Learning and Data Science

Type Credits Grading scale Recurrence Version Examination of another type 9 Grade to a third Each term 1

Events

ST 2021 2530357 Advanced Machine Learning and 4 SWS Practical course / 🖥 Ulrich Data Science

WT 21/22 2530357 Advanced Machine Learning and 4 SWS Practical course / 🖥 Ulrich Data Science

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment is carried out in form of a written thesis based on the course "Advanced Machine Learning and Data Science".

Annotation The course is targeted to students with a major in Data Science and/or Machine Learning. It offers students the opportunity to develop hands-on knowledge on new developments in data science and machine learning. Please apply via the link: https:// portal.wiwi.kit.edu/forms/form/fbv-ulrich-msc-project. The application will be accepted on a rolling basis.

Below you will find excerpts from events related to this course:

Advanced Machine Learning and Data Science V Practical course (P) 2530357, SS 2021, 4 SWS, Language: English, Open in study portal Online

Content The course is targeted to students with a major in Data Science and/or Machine Learning. It offers students the opportunity to develop hands-on knowledge on new developments in data science and machine learning.

Organizational issues 14-tägig, tba

Literature Literatur wird in der ersten Vorlesung bekannt gegeben.

Advanced Machine Learning and Data Science V Practical course (P) 2530357, WS 21/22, 4 SWS, Language: English, Open in study portal Online

Content The course is targeted to students with a major in Data Science and/or Machine Learning. It offers students the opportunity to develop hands-on knowledge on new developments in data science and machine learning.

Organizational issues 14-tägig, tba

Literature Literatur wird in der ersten Vorlesung bekannt gegeben.

Industrial Engineering and Management M.Sc. 193 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Management Accounting [T-WIWI-102885]

T 7.14 Course: Advanced Management Accounting [T-WIWI-102885]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: M-WIWI-101510 - Cross-Functional Management Accounting

Type Credits Grading scale Recurrence Version Oral examination 4,5 Grade to a third Each winter term 2

Events WT 21/22 2579907 Advanced Management Accounting 4 SWS Lecture Wouters

Competence Certificate The assessment consists of an oral exam (30 min) (according to §4 (2), 2 of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date.

Prerequisites None.

Recommendation The course requires significant prior knowledge of Management Accounting, similar to the content of the courses MA 1 and 2, although completion of these particular courses is not a formal requirement.

Annotation This course is held in English. Lectures and tutorials are integrated. The course is compulsory and must be examined. Students who are interested in attending this course should send an e-mail to Professor Wouters (marc.wouters∂kit.edu).

Below you will find excerpts from events related to this course:

Advanced Management Accounting V Lecture (V) 2579907, WS 21/22, 4 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 194 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Management Accounting [T-WIWI-102885]

Content This course is held in English. Students who are interested in attending this course should send an e-mail to Professor Wouters ([email protected]). Inhalt:

• The course addresses several topics where management accounting is strongly related to marketing, finance, or organization and strategy, such as customer value propositions, financial performance measures, managing new product development, and technology investment decisions.

Learning objectives:

• Students will be able to consider advanced management accounting methods in an interdisciplinary way and to apply these to managerial decision-making problems in operations and innovation. • They will also be able to identify relevant research results on such methods.

Examination:

• The assessment consists of an oral exam (30 min) taking place in the recess period (according to § 4 (2) No. 2 of the examination regulation). • The exam takes place in every semester. Re-examinations are offered at every ordinary examination date.

Required prior Courses:

• The course is compulsory and must be examined.

Recommendations:

• The course requires significant prior knowledge of Management Accounting, similar to the content of the courses MA 1 and 2, although completion of these particular courses is not a formal requirement.

Workload:

• The total workload for this course is approximately 135 hours. For further information see German version.

Literature Literature is mostly made available via ILIAS.

Industrial Engineering and Management M.Sc. 195 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Management Accounting 2 [T-WIWI-110179]

T 7.15 Course: Advanced Management Accounting 2 [T-WIWI-110179]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: M-WIWI-101510 - Cross-Functional Management Accounting

Type Credits Grading scale Recurrence Version Oral examination 4,5 Grade to a third see Annotations 1

Competence Certificate The examination will no longer be offered as of summer semester 2021.

Prerequisites None.

Recommendation The course requires significant prior knowledge of Management Accounting, similar to the content of the courses MA 1 and 2, although completion of these particular courses is not a formal requirement.

Annotation Lecture and examination will no longer be offered from summer semester 2021.

Industrial Engineering and Management M.Sc. 196 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Statistics [T-WIWI-103123]

T 7.16 Course: Advanced Statistics [T-WIWI-103123]

Responsible: Prof. Dr. Oliver Grothe Organisation: KIT Department of Economics and Management Part of: M-WIWI-101637 - Analytics and Statistics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2550552 Statistik für Fortgeschrittene 2 SWS Lecture Grothe WT 21/22 2550553 Übung zu Statistik für 2 SWS Practice Grothe, Rieger Fortgeschrittene Exams ST 2021 7900360 Advanced Statistics Grothe

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation. A bonus program can improve the grade by one grade level (i.e. by 0.3 or 0.4). The exam is offered every semester. Re-examinations are offered only for repeaters.

Prerequisites None

Annotation New course starting winter term 2015/2016

Below you will find excerpts from events related to this course:

Statistik für Fortgeschrittene V Lecture (V) 2550552, WS 21/22, 2 SWS, Open in study portal

Literature Skript zur Vorlesung

Industrial Engineering and Management M.Sc. 197 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Stochastic Optimization [T-WIWI-106548]

T 7.17 Course: Advanced Stochastic Optimization [T-WIWI-106548]

Responsible: Prof. Dr. Steffen Rebennack Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Competence Certificate The assessment consists of a written exam (60 minutes) according to Section 4(2), 1 of the examination regulation. The exam takes place in every the semester.

Prerequisites None.

Industrial Engineering and Management M.Sc. 198 Module Handbook as of 30/09/2021 7 COURSES Course: Advanced Topics in Economic Theory [T-WIWI-102609]

T 7.18 Course: Advanced Topics in Economic Theory [T-WIWI-102609]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101406 - Network Economics M-WIWI-101497 - Agglomeration and Innovation M-WIWI-101500 - Microeconomic Theory M-WIWI-101502 - Economic Theory and its Application in Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Events

ST 2021 2520527 Advanced Topics in Economic 2 SWS Lecture / 🖥 Mitusch, Brumm Theory

ST 2021 2520528 Übung zu Advanced Topics in 1 SWS Practice / 🖥 Pegorari Economic Theory Exams ST 2021 00227 Advanced Topics in Economic Theory Mitusch, Brumm ST 2021 7900329 Advanced Topics in Economic Theory Mitusch, Brumm

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60min) (following §4(2), 1 of the examination regulation) at the end of the lecture period or at the beginning of the following semester.

Prerequisites None

Recommendation This course is designed for advanced Master students with a strong interest in economic theory and mathematical models. Bachelor students who would like to participate are free to do so, but should be aware that the level is much more advanced than in other courses of their curriculum.

Below you will find excerpts from events related to this course:

Advanced Topics in Economic Theory V Lecture (V) 2520527, SS 2021, 2 SWS, Language: English, Open in study portal Online

Literature Die Veranstaltung wird in englischer Sprache angeboten: The course is based on the excellent textbook "Microeconomic Theory" (Chapters 1-5, 10, 13-20) by A.Mas-Colell, M.D.Whinston, and J.R.Green.

Industrial Engineering and Management M.Sc. 199 Module Handbook as of 30/09/2021 7 COURSES Course: Airport Logistics [T-MACH-105175]

T 7.19 Course: Airport Logistics [T-MACH-105175]

Responsible: Dr.-Ing. André Richter Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 2

Events

WT 21/22 2117056 Airport logistics 2 SWS Lecture / 🗣 Richter Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulation.

Prerequisites none

Below you will find excerpts from events related to this course:

Airport logistics V Lecture (V) 2117056, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content Media Presentations Learning content

• Introduction • Airport installations • Luggage transport • Passenger transport • Security on the airport • Legal bases of the air traffic • Freight on the airport

Learning goals The students are able to:

• Describe material handling and informations technology activities on airports, • Evaluate processes and systems on airports as the law stands, and • Choose appropriate processes and material handling systems for airports.

Recommendations None Workload Regular attendance: 21 hours Self-study: 99 hours Note Limited number of participants: allocation of places in sequence of registration (first come first served). Registration via "ILIAS" mandatory. Personal presence during lectures mandatory.

Organizational issues Termine: siehe ILIAS. Erste Vorlesung 02.November 2021.

Industrial Engineering and Management M.Sc. 200 Module Handbook as of 30/09/2021 7 COURSES Course: Airport Logistics [T-MACH-105175]

Literature „Gepäcklogistik auf Flughäfen“ à http://www.springer.com/de/book/9783642328527

Industrial Engineering and Management M.Sc. 201 Module Handbook as of 30/09/2021 7 COURSES Course: Analysis of Exhaust Gas and Lubricating Oil in Combustion Engines [T-MACH-105173]

T 7.20 Course: Analysis of Exhaust Gas and Lubricating Oil in Combustion Engines [T- MACH-105173]

Responsible: Dr.-Ing. Marcus Gohl Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events ST 2021 2134150 Analysis of Exhaust Gas und 2 SWS Lecture / 🧩 Gohl Lubricating Oil in Combustion Engines Exams ST 2021 76--T-Mach-105173 Analysis of Exhaust Gas and Lubricating Oil in Combustion Engines Gohl

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Letter of attendance or oral exam (25 minutes, no auxillary means)

Prerequisites none

Below you will find excerpts from events related to this course:

Analysis of Exhaust Gas und Lubricating Oil in Combustion Engines V Lecture (V) 2134150, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature Die Vorlesungsunterlagen werden vor jeder Veranstaltung an die Studenten verteilt.

Industrial Engineering and Management M.Sc. 202 Module Handbook as of 30/09/2021 7 COURSES Course: Analysis Tools for Combustion Diagnostics [T-MACH-105167]

T 7.21 Course: Analysis Tools for Combustion Diagnostics [T-MACH-105167]

Responsible: Jürgen Pfeil Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events ST 2021 2134134 Analysis tools for combustion 2 SWS Lecture / 🧩 Pfeil diagnostics Exams ST 2021 76-T-MACH-105167 Analysis Tools for Combustion Diagnostics Koch WT 21/22 76-T-MACH-105167 Analysis Tools for Combustion Diagnostics Koch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination, Duration: 25 min., no auxiliary means

Prerequisites none

Below you will find excerpts from events related to this course:

Analysis tools for combustion diagnostics V Lecture (V) 2134134, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature Skript, erhältlich in der Vorlesung

Industrial Engineering and Management M.Sc. 203 Module Handbook as of 30/09/2021 7 COURSES Course: Analyzing and Evaluating Innovation Processes [T-WIWI-108774]

T 7.22 Course: Analyzing and Evaluating Innovation Processes [T-WIWI-108774]

Responsible: Dr. Daniela Beyer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events

ST 2021 2545108 Innovationsprozesse analysieren & 2 SWS Seminar / 🖥 Beyer evaluieren Exams ST 2021 7900017 Innovationsprozesse analysieren & evaluieren Weissenberger-Eibl

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Non exam assessment (following §4(2) 3 of the examination regulation). Innovation plan (exposé) (20%), Guided interviews/ quantitative survey (20%), presentation of results (20%), seminar paper (about 5 pages per person) (40%).

Prerequisites None

Recommendation Prior attendance of the course Innovation Management is recommended.

Industrial Engineering and Management M.Sc. 204 Module Handbook as of 30/09/2021 7 COURSES Course: Application of Social Science Methods (WiWi) [T-GEISTSOZ-109052]

T 7.23 Course: Application of Social Science Methods (WiWi) [T-GEISTSOZ-109052]

Responsible: Prof. Dr. Gerd Nollmann Organisation: KIT Department of Humanities and Social Sciences Part of: M-GEISTSOZ-101169 - Sociology

Type Credits Grading scale Recurrence Version Examination of another type 9 Grade to a third Each term 2

Events

ST 2021 5011002 Opinion Dynamics on the Internet II 2 SWS Seminar / 🖥 Keijzer ST 2021 5011006 Gender Pay Gap 2 SWS Seminar / 🖥 Nollmann ST 2021 5011008 Decomposition and Regression 2 SWS Seminar / 🖥 Nollmann Analysis Exams ST 2021 7400368 Application of Social Science Methods Nollmann ST 2021 7400453 Application of Social Science Methods (WiWi) Nollmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Below you will find excerpts from events related to this course:

Opinion Dynamics on the Internet II V Seminar (S) 5011002, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The Internet has become an arena for public debate, providing users with unprecedented means of communicating their opinions and political views via online fora, tweets, Facebook posts, and the like. Many fear that this new technology changes public debate in ways that endanger societal cohesion and democracy, pointing to phenomena like filter bubbles or fake news. This seminar covers the computational social science approach to this research field, highlighting the opportunities and challenges that come with learning about human behavior in an increasingly data driven society. Specifically, we discuss theories and empirical research on opinion dynamics on the Internet, and focus on computational models of opinion dynamics in networks and their application to online (social media) platforms. We explore how social influence on the Internet can be studied empirically with experiments and the analysis of digital trace data, but stress the importance of theoretically well-informed models when doing so. In this course, students will have the opportunity to explore alternative methods from the emerging field of computational social science, analyzing computational models of opinion dynamics on the Internet, or gathering and analyzing data on the web. The course consists of two parts (5011018 and 5011002) that need to be taken in parallel. It is not possible to attend only one of the two courses. To enroll to both parts, please use the registration procedure of course 5011018.

Organizational issues The course consists of two parts (5011018 and 5011002) that need to be taken in parallel. It is not possible to attend only one of the two courses. To enroll to both parts, please use the registration procedure of course 5011018.

Industrial Engineering and Management M.Sc. 205 Module Handbook as of 30/09/2021 7 COURSES Course: Applied Econometrics [T-WIWI-111388]

T 7.24 Course: Applied Econometrics [T-WIWI-111388]

Responsible: Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Events WT 21/22 2520020 Applied Econometrics 2 SWS Lecture Krüger WT 21/22 2520021 Tutorial in Applied Econometrics 2 SWS Practice Krüger, Koster

Competence Certificate The assessment of this course is a written examination (90 min) according to §4(2), 1 of the examination regulation.

Prerequisites None

Annotation The course is not offered regularly.

Below you will find excerpts from events related to this course:

Applied Econometrics V Lecture (V) 2520020, WS 21/22, 2 SWS, Language: English, Open in study portal

Content Content: - Causal effects and prediction in the linear model, instrumental variables, analysis of natural experiments - Theoretical exercises with computer-based illustrations Workload: Total workload for 4.5 CP: approx. 135 hours Attendance: 30 hours Independent Study: 105 hours

Literature Hansen (2021): Econometrics. Online textbook, University of Wisconsin. Angrist und Pischke (2009): Mostly Harmless Econometrics. Princeton University Press, 2009. Weitere Literatur wird in der Vorlesung bekanntgegeben.

Industrial Engineering and Management M.Sc. 206 Module Handbook as of 30/09/2021 Course: Applied Informatics – Principles of Internet Computing: Foundations 7 COURSES for Emerging Technologies and Future Services [T-WIWI-110339]

T 7.25 Course: Applied Informatics – Principles of Internet Computing: Foundations for Emerging Technologies and Future Services [T-WIWI-110339]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2511032 Applied Informatics - Principles of 2 SWS Lecture / 🖥 Sunyaev Internet Computing: Foundations for Emerging Technologies and Future Services

ST 2021 2511033 Übungen zu Angewandte 1 SWS Practice / 🖥 Sunyaev, Teigeler, Informatik - Internet Computing Beyene Exams ST 2021 7900025 Applied Informatics - Internet Computing (Registration until 12 July Sunyaev 2021) WT 21/22 7900004 Applied Informatics – Principles of Internet Computing: Foundations Sunyaev for Emerging Technologies and Future Services

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min) according to Section 4(2), 1 of the examination regulation. The successful completion of the exercises is recommended for the written exam, which is offered at the end of the winter semester and at the end of the summer semester. By successful processing the exercises a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4).

Prerequisites None

Annotation Replaces from winter semester 2019/2020 T-WIWI-109445 "Applied Informatics - Internet Computing".

Below you will find excerpts from events related to this course:

Applied Informatics - Principles of Internet Computing: Foundations for Emerging Lecture (V) V Technologies and Future Services Online 2511032, SS 2021, 2 SWS, Language: German, Open in study portal

Industrial Engineering and Management M.Sc. 207 Module Handbook as of 30/09/2021 Course: Applied Informatics – Principles of Internet Computing: Foundations 7 COURSES for Emerging Technologies and Future Services [T-WIWI-110339]

Content The lecture Applied Computer Science II provides insights into fundamental concepts and future technologies of distributed systems and Internet computing. Students should be able to select, design and apply the presented concepts and technologies. The course first introduces basic concepts of distributed systems (e.g. design of architectures for distributed systems, internet architectures, web services, middleware). In the second part of the course, emerging technologies of Internet computing will be examined in depth. These include, among others:

• Cloud Computing • Edge & Fog Computing • Internet of Things • Blockchain • Artificial Intelligence

Learning objectives: The student learns about basic concepts and emerging technologies of distributed systems and internet computing. Practical topics will be deepened in lab classes. Recommendations: Knowledge of content of the module [WI1INFO]. Workload: The total workload for this course is approximately 135-150 hours.

Literature Wird in der Vorlesung bekannt gegeben

Industrial Engineering and Management M.Sc. 208 Module Handbook as of 30/09/2021 7 COURSES Course: Artificial Intelligence in Service Systems [T-WIWI-108715]

T 7.26 Course: Artificial Intelligence in Service Systems [T-WIWI-108715]

Responsible: Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101448 - Service Management M-WIWI-101506 - Service Analytics M-WIWI-103117 - Data Science: Data-Driven Information Systems

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events

WT 21/22 2595650 Artificial Intelligence in Service 1,5 SWS Lecture / 🖥 Kühl, Vössing Systems Exams ST 2021 7900240 Artificial Intelligence in Service Systems Satzger WT 21/22 7900321 Artificial Intelligence in Service Systems (16.03.22) - Hauptklausur Satzger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min). Successful completion of the exercises is a prerequisite for admission to the written exam.

Prerequisites None

Below you will find excerpts from events related to this course:

Artificial Intelligence in Service Systems V Lecture (V) 2595650, WS 21/22, 1,5 SWS, Language: English, Open in study portal Online

Content Artificial Intelligence (AI) and the application of machine learning is becoming more and more popular to solve relevant business challenges — both within isolated entities but also within co-creating systems (like value chains). However, it is not only essential to be familiar with precise algorithms but rather a general understanding of the necessary steps with a holistic view—from real-world challenges to the successful deployment of an AI-based solution. As part of this course, we teach the complete lifecycle of an AI project focusing on supervised machine learning challenges. We do so by also introducing the use of Python and the required packages like scikit-learn with exemplary data and use cases. We then take this knowledge to the more complex case of service systems with different entities (e.g., companies) who interact with each other and show possibilities on how to derive holistic insights. Apart from the technical aspects necessary when developing AI within service systems, we also shed light on the collaboration of humans and AI in such systems (e.g., with the support of XAI), topics of ethics and bias in AI, as well as AI’s capabilities on being creative.

Students of this course will be able to understand and implement the complete lifecycle of a typical Artificial Intelligence use case with supervised machine learning. Furthermore, they understand the importance and the means of applying AI and Machine Learning within service systems, which allows multiple, independent entities to collaborate and derive insights. Besides technical aspects, they will gain an understanding of the broader challenges and aspects when dealing with AI. Students will be proficient with typical Python code for AI challenges.

Organizational issues Diese Veranstaltung findet mittwochs von 10:00 - 11.30 Uhr online statt.

Industrial Engineering and Management M.Sc. 209 Module Handbook as of 30/09/2021 7 COURSES Course: Artificial Intelligence in Service Systems [T-WIWI-108715]

Literature

• Baier, L., Kühl, N., & Satzger, G. (2019). How to cope with change?-preserving validity of predictive services over time. In Proceedings of the 52nd Hawaii International Conference on System Sciences. • Cawley, G. C., & Talbot, N. L. (2010). On over-fitting in model selection and subsequent selection bias in performance evaluation. The Journal of Machine Learning Research, 11, 2079-2107. • Fink, O., Netland, T., & Feuerriegel, S. (2021). Artificial intelligence across company borders. arXiv preprint arXiv:2107.03912. • Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014). A survey on concept drift adaptation. ACM computing surveys (CSUR), 46(4), 1-37. • Hemmer, P., Schemmer, M., Vössing, M., & Kühl, N. (2021). Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. PACIS 2021 Proceedings. • Hirt, R., & Kühl, N. (2018). Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning. In 39th International Conference on Information Systems, ICIS 2018; San Francisco Marriott MarquisSan Francisco; United States; 13 December 2018 through 16 December 2018. • Kühl, N., Goutier, M., Hirt, R., & Satzger, G. (2019, January). Machine Learning in Artificial Intelligence: Towards a Common Understanding. In Proceedings of the 52nd Hawaii International Conference on System Sciences. • Kühl, N., Hirt, R., Baier, L., Schmitz, B., & Satzger, G. (2021). How to Conduct Rigorous Supervised Machine Learning in Information Systems Research: The Supervised Machine Learning Report Card. Communications of the Association for Information Systems, 48(1), 46. • Maleshkova, M., Kühl, N., & Jussen, P. (Eds.). (2020). Smart Service Management: Design Guidelines and Best Practices. Springer Nature. • Martin, D., Hirt, R., & Kühl, N. (2019). Service Systems, Smart Service Systems and Cyber-Physical Systems—What’s the difference? Towards a Unified Terminology. 14. Internationale Tagung Wirtschaftsinformatik 2019 (WI 2019), Siegen, Germany, February 24-27. • Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2019). A survey on bias and fairness in machine learning. arXiv preprint arXiv:1908.09635. • Müller, V. C., & Bostrom, N. (2016). Future progress in artificial intelligence: A survey of expert opinion. In Fundamental issues of artificial intelligence (pp. 555-572). Springer, Cham. • Pan, S. J., & Yang, Q. (2009). A survey on transfer learning. IEEE Transactions on knowledge and data engineering, 22(10), 1345-1359. • Schöffer, J., Machowski, Y., & Kühl, N. (2021). A Study on Fairness and Trust Perceptions in Automated Decision Making. In Joint Proceedings of the ACM IUI 2021 Workshops, April 13–17, 2021, College Station, USA. • Shmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS quarterly, 553-572. • Zahn, M. V., Feuerriegel, S., & Kühl, N. (2021). The cost of fairness in AI: Evidence from e-commerce. Business & information systems engineering.

Industrial Engineering and Management M.Sc. 210 Module Handbook as of 30/09/2021 7 COURSES Course: Artificial Intelligence in Service Systems - Applications in Computer Vision [T-WIWI-111219]

T 7.27 Course: Artificial Intelligence in Service Systems - Applications in Computer Vision [T-WIWI-111219]

Responsible: Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101448 - Service Management M-WIWI-101506 - Service Analytics M-WIWI-103117 - Data Science: Data-Driven Information Systems M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 1

Events

ST 2021 2595501 Artificial Intelligence in Service 3 SWS Lecture / 🖥 Satzger, Schmitz Systems - Applications in Computer Vision Exams ST 2021 7900305 Artificial Intelligence in Service Systems - Applications in Computer Satzger Vision WT 21/22 7900025 Artificial Intelligence in Service Systems - Applications in Computer Satzger Vision

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment.

Modeled Conditions The following conditions have to be fulfilled:

1. The course T-WIWI-105778 - Service Analytics A must not have been started.

Annotation This course is admission restricted (see http://dsi.iism.kit.edu). The course replaces "Service Analytics A" as of summer semester 2021.

Below you will find excerpts from events related to this course:

Artificial Intelligence in Service Systems - Applications in Computer Vision V Lecture (V) 2595501, SS 2021, 3 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 211 Module Handbook as of 30/09/2021 7 COURSES Course: Artificial Intelligence in Service Systems - Applications in Computer Vision [T-WIWI-111219]

Content ---We renamed this course from "Service Analytics A" to "Artificial Intelligence in Service Systems - Applications in Computer Vision ---

Learning objectives This course teaches students how to apply machine learning concepts to develop predictive models that form the basis of many innovative service offerings and business models today. Using a selected use case each term, students learn the foundations of selected algorithms and development frameworks and apply them to build a functioning prototype of an analytics-based service. Students will become proficient in writing code in Python to implement a data science use case over the course period.

Description Data-driven services have become a key differentiator for many companies. Their development is based on the increasing availability of structured and unstructured data and their analysis through methods from data science and machine learning. Examples comprise highly innovative service offerings based on technologies such as natural language processing, computer vision or reinforcement learning. Using a selected use case, this lecture will teach students how to develop analytics-based services in an applied setting. We teach the theoretical foundations of selected machine learning algorithms (e.g., convolutional neural networks) and development concepts (e.g., developing modeling, training, inference pipelines) and teach how to apply these concepts to build a functioning prototype of an analytics-based service (e.g., inference running on a device). During the course, students will work in small groups to apply the learned concepts in the programming language Python using packages such as Keras, Tensorflow or Scikit-Learn.

Recommendations The course is aimed at students in the Master's program with basic knowledge in statistics and applied programming in Python. Knowledge from the lecture Artificial Intelligence in Service Systems may be beneficial.

Additional information Due to the practical group sessions in the course, the number of participants is limited. The offiicial application period in the WiWi portal is over. However, there is a limited number of remaining spaces. In case you are motivated to participate and have previous experience in the fields of Python Programming and Machine Learning please send a mail to jannis.walk∂kit.edu until Friday, 9th of April 2021. Your mail has to contain: - A short letter of motivation, ideally (but not necessarily) with reference to previous experience in programming and data science (maximum one page) - Transcript of records (for Bachelor and Master if available)

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Literature

• Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. The elements of statistical learning. Vol. 1. No. 10. New York: Springer series in statistics, 2001. • Russell, S., & Norvig, P. (2002). Artificial intelligence: a modern approach. • Goldstein, E. B. (2009). Sensation and perception. 8th. Belmont: Wadsworth, Cengage Learning, 496(3). • Gonzalez, Rafael C., Woods, Richard E. (2018). Digital Image Processing. 4th Pearson India • Szeliski, R. (2010). Computer vision: algorithms and applications. Springer Science & Business Media. • Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition(pp. 779-788). • Sermanet, P., Chintala, S., & LeCun, Y. (2012, November). Convolutional neural networks applied to house numbers digit classification. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)(pp. 3288-3291). IEEE. • Ren, S., He, K., Girshick, R., & Sun, J. (2015). Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems(pp. 91-99). • Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition(pp. 580-587). • Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems(pp. 1097-1105).

Industrial Engineering and Management M.Sc. 212 Module Handbook as of 30/09/2021 7 COURSES Course: Asset Pricing [T-WIWI-102647]

T 7.28 Course: Asset Pricing [T-WIWI-102647]

Responsible: Prof. Dr. Martin Ruckes Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101482 - Finance 1 M-WIWI-101483 - Finance 2 M-WIWI-101502 - Economic Theory and its Application in Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2530555 Asset Pricing 2 SWS Lecture / 🖥 Uhrig-Homburg ST 2021 2530556 Übung zu Asset Pricing 1 SWS Practice / 🖥 Uhrig-Homburg, Reichenbacher Exams ST 2021 7900110 Asset Pricing Uhrig-Homburg, Thimme WT 21/22 7900056 Asset Pricing Uhrig-Homburg

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 60-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Recommendation We strongly recommend knowledge of the basic topics in investments (bachelor course), which will be necessary to be able to follow the course.

Below you will find excerpts from events related to this course:

Asset Pricing V Lecture (V) 2530555, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues Veranstaltungskonzept umfasst vollständige Aufzeichnungen von Vorlesung und Übung. Ergänzend bieten wir zweiwöchig freiwillige Live-Fragerunden zum fachlichen und organisatorischen Austausch an.

Literature Basisliteratur

• Asset pricing / Cochrane, J.H. - Rev. ed., Princeton Univ. Press, 2005.

Zur Wiederholung/Vertiefung

• Investments and Portfolio Management / Bodie, Z., Kane, A., Marcus, A.J. - 9. ed., McGraw-Hill, 2011. • The econometrics of financial markets / Campbell, J.Y., Lo, A.W., MacKinlay, A.C. - 2. printing, with corrections, Princeton Univ. Press, 1997.

Industrial Engineering and Management M.Sc. 213 Module Handbook as of 30/09/2021 7 COURSES Course: Auction Theory [T-WIWI-102613]

T 7.29 Course: Auction Theory [T-WIWI-102613]

Responsible: Prof. Dr. Karl-Martin Ehrhart Organisation: KIT Department of Economics and Management Part of: M-WIWI-101446 - Market Engineering M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101500 - Microeconomic Theory

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2520408 Auktionstheorie 2 SWS Lecture Ehrhart WT 21/22 2520409 Übungen zu Auktionstheorie 1 SWS Practice Ehrhart Exams ST 2021 7900255 Auction Theory Ehrhart WT 21/22 7900216 Auction Theory Ehrhart

Competence Certificate The assessment of this course is a written examination (following §4(2), 1 SPO) of 60 mins. The exam is offered each semester.

Prerequisites None

Below you will find excerpts from events related to this course:

Auktionstheorie V Lecture (V) 2520408, WS 21/22, 2 SWS, Open in study portal

Literature

• Ehrhart , K.-M. und S. Seifert: Auktionstheorie, Skript zur Vorlesung, KIT, 2011 • Krishna, V.: Auction Theory, Academic Press, Second Edition, 2010 • Milgrom, P.: Putting Auction Theory to Work, Cambridge University Press, 2004 • Ausubel, L.M. und P. Cramton: Demand Reduction and Inefficiency in Multi-Unit Auctions, University of Maryland, 1999

Industrial Engineering and Management M.Sc. 214 Module Handbook as of 30/09/2021 7 COURSES Course: Automated Manufacturing Systems [T-MACH-102162]

T 7.30 Course: Automated Manufacturing Systems [T-MACH-102162]

Responsible: Prof. Dr.-Ing. Jürgen Fleischer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101298 - Automated Manufacturing Systems

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each summer term 2

Events ST 2021 2150904 Automated Manufacturing 6 SWS Lecture / Practice ( / Fleischer Systems 🖥 Exams ST 2021 76-T-MACH-102162 Automated Manufacturing Systems Fleischer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam (120 minutes)

Prerequisites "T-MACH-108844 - Automatisierte Produktionsanlagen" must not be commenced.

Below you will find excerpts from events related to this course:

Automated Manufacturing Systems V Lecture / Practice (VÜ) 2150904, SS 2021, 6 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 215 Module Handbook as of 30/09/2021 7 COURSES Course: Automated Manufacturing Systems [T-MACH-102162]

Content The lecture provides an overview of the structure and functioning of automated manufacturing systems. In the introduction chapter the basic elements for the realization of automated manufacturing systems are given. This includes:

• Drive and control technology • Handling technology for handling work pieces and tools • Industrial Robotics • Quality assurance in automated manufacturing • automatic machines, cells, centers and systems for manufacturing and assembly • structures of multi-machine systems • planning of automated manufacturing systems

An interdisciplinary view of these subareas enables Industry 4.0 solutions. In the second part of the lecture, the basics are illustrated using implemented manufacturing processes for the production of automotive components (chassis and drive technology).The analysis of automated manufacturing systems for manufacturing of defined components is also included. In the field of vehicle power train both, the automated manufacturing process for the production of the conventional internal- combustion engine and the automated manufacturing process for the production of the prospective electric power train (electric motor and battery) are considered. In the field of car body, the focus is on the analysis of the process chain for the automated manufacturing of conventional sheet metal body parts, as well as for automated manufacturing of body components made out of fiber-reinforced plastics. Within tutorials, the contents from the lecture are advanced and applied to specific problems and tasks.

Learning Outcomes: The students …

• are able to analyze implemented automated manufacturing systems and describe their components. • are capable to assess the implemented examples of implemented automated manufacturing systems and apply them to new problems. • are able to name automation tasks in manufacturing plants and name the components which are necessary for the implementation of each automation task. • are capable with respect to a given task to plan the configuration of an automated manufacturing system and to determine the necessary components to its realization. • are able to design and select components for a given use case of the categories: "Handling Technology", "Industrial Robotics", "Sensory" and "Controls". • are capable to compare different concepts for multi-machine systems and select a suitable concept for a given use case.

Workload: MACH: regular attendance: 63 hours self-study: 177 hours WING: regular attendance: 63 hours self-study: 207 hours

Organizational issues Vorlesungstermine dienstags 8.00 Uhr und donnerstags 8.00 Uhr, Übungstermine donnerstags 9.45 Uhr. Bekanntgabe der konkreten Übungstermine erfolgt in der ersten Vorlesung.

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt.

Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 216 Module Handbook as of 30/09/2021 7 COURSES Course: Automotive Engineering I [T-MACH-102203]

T 7.31 Course: Automotive Engineering I [T-MACH-102203]

Responsible: Prof. Dr. Frank Gauterin Dr.-Ing. Martin Gießler Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Written examination 6 Grade to a third Each winter term 1

Events

WT 21/22 2113809 Automotive Engineering I 4 SWS Lecture / 🗣 Gauterin, Gießler Exams ST 2021 76-T-MACH-102203 Automotive Engineering I Gauterin WT 21/22 76-T-MACH-102203 Automotive Engineering I Gauterin

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written examination

Duration: 120 minutes

Auxiliary means: none

Modeled Conditions The following conditions have to be fulfilled:

1. The course T-MACH-100092 - Automotive Engineering I must not have been started.

Below you will find excerpts from events related to this course:

Automotive Engineering I V Lecture (V) 2113809, WS 21/22, 4 SWS, Language: English, Open in study portal On-Site

Content 1. History and future of the automobile

2. Driving mechanics: driving resistances and driving performances, mechanics of longitudinal and lateral forces, active and passive safety

3. Drive systems: combustion engine, hybrid and electric drive systems

4. Transmission: clutches (e.g. friction clutch, visco clutch), transmission (e.g. mechanical transmission, hydraulic fluid transmission)

5.Power transmission and distribution: drive shafts, cardon joints, differentials Learning Objectives: The students know the movements and the forces at the vehicle and are familiar with active and passive safety. They have proper knowledge about operation of engines and alternative drives, the necessary transmission between engine and drive wheels and the power distribution. They have an overview of the components necessary for the drive and have the basic knowledge, to analyze, to evaluate, and to develop the complex system "vehicle".

Organizational issues Kann nicht mit LV Grundlagen der Fahrzeugtechnik I [2113805] kombiniert werden. Can not be combined with lecture [2113805] Grundlagen der Fahrzeugtechnik I.

Industrial Engineering and Management M.Sc. 217 Module Handbook as of 30/09/2021 7 COURSES Course: Automotive Engineering I [T-MACH-102203]

Literature 1. Robert Bosch GmbH: Automotive Handbook, 9th Edition, Wiley, Chichister 2015 2. Onori, S. / Serrao, L: / Rizzoni, G.: Hybrid Electric Vehicles - Energy Management Strategies, Springer London, Heidelberg, New York, Dordrecht 2016 3. Reif, K.: Brakes, Brake Control and Driver Assistance Systems - Function, Regulation and Components, Springer Vieweg, Wiesbaden 2015 4. Gauterin, F. / Gießler, M. / Gnadler, R.: Scriptum zur Vorlesung 'Automotive Engineering I', KIT, Institut für Fahrzeugsystemtechnik, Karlsruhe, jährlich aktualisiert

Industrial Engineering and Management M.Sc. 218 Module Handbook as of 30/09/2021 7 COURSES Course: Automotive Engineering I [T-MACH-100092]

T 7.32 Course: Automotive Engineering I [T-MACH-100092]

Responsible: Prof. Dr. Frank Gauterin Dr.-Ing. Hans-Joachim Unrau Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Expansion Language Version Written examination 6 Grade to a third Each winter term 1 terms 3

Events

WT 21/22 2113805 Automotive Engineering I 4 SWS Lecture / 🗣 Gauterin, Unrau WT 21/22 2113809 Automotive Engineering I 4 SWS Lecture / 🗣 Gauterin, Gießler Exams ST 2021 76-T-MACH-100092 Automotive Engineering Gauterin, Unrau WT 21/22 76-T-MACH-100092 Automotive Engineering Unrau, Gauterin

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written examination

Duration: 120 minutes

Auxiliary means: none

Prerequisites The brick "T-MACH-102203 - Automotive Engineering I" is not started or finished. The bricks "T-MACH-100092 - Grundlagen der Fahrzeugtechnik I" and "T-MACH-102203 - Automotive Engineering I" can not be combined.

Below you will find excerpts from events related to this course:

Automotive Engineering I V Lecture (V) 2113805, WS 21/22, 4 SWS, Language: German, Open in study portal On-Site

Content 1. History and future of the automobile 2. Driving mechanics: driving resistances and driving performance, mechanics of longitudinal and lateral forces, active and passive safety

3. Drive systems: combustion engine, hybrid and electric drive systems

4. Transmission: clutches (e.g. friction clutch, visco clutch), transmission (e.g. mechanical transmission, hydraulic fluid transmission)

5. Power transmission and distribution: drive shafts, cardon joints, differentials Learning Objectives: The students know the movements and the forces at the vehicle and are familiar with active and passive safety. They have proper knowledge about operation of engines and alternative drives, the necessary transmission between engine and drive wheels and the power distribution. They have an overview of the components necessary for the drive and have the basic knowledge, to analyze, to evaluate, and to develop the complex system "vehicle".

Organizational issues Kann nicht mit der Veranstaltung [2113809] kombiniert werden. Can not be combined with lecture [2113809].

Industrial Engineering and Management M.Sc. 219 Module Handbook as of 30/09/2021 7 COURSES Course: Automotive Engineering I [T-MACH-100092]

Literature 1. Mitschke, M. / Wallentowitz, H.: Dynamik der Kraftfahrzeuge, Springer Vieweg, Wiesbaden 2014

2. Pischinger, S. / Seiffert, U.: Handbuch Kraftfahrzeugtechnik, Springer Vieweg, Wiesbaden 2016

3. Gauterin, F. / Unrau, H.-J. / Gnadler, R.: Scriptum zur Vorlesung "Grundlagen der Fahrzeugtechnik I", KIT, Institut für Fahrzeugsystemtechnik, Karlsruhe, jährlich aktualisiert

Automotive Engineering I V Lecture (V) 2113809, WS 21/22, 4 SWS, Language: English, Open in study portal On-Site

Content 1. History and future of the automobile

2. Driving mechanics: driving resistances and driving performances, mechanics of longitudinal and lateral forces, active and passive safety

3. Drive systems: combustion engine, hybrid and electric drive systems

4. Transmission: clutches (e.g. friction clutch, visco clutch), transmission (e.g. mechanical transmission, hydraulic fluid transmission)

5.Power transmission and distribution: drive shafts, cardon joints, differentials Learning Objectives: The students know the movements and the forces at the vehicle and are familiar with active and passive safety. They have proper knowledge about operation of engines and alternative drives, the necessary transmission between engine and drive wheels and the power distribution. They have an overview of the components necessary for the drive and have the basic knowledge, to analyze, to evaluate, and to develop the complex system "vehicle".

Organizational issues Kann nicht mit LV Grundlagen der Fahrzeugtechnik I [2113805] kombiniert werden. Can not be combined with lecture [2113805] Grundlagen der Fahrzeugtechnik I.

Literature 1. Robert Bosch GmbH: Automotive Handbook, 9th Edition, Wiley, Chichister 2015 2. Onori, S. / Serrao, L: / Rizzoni, G.: Hybrid Electric Vehicles - Energy Management Strategies, Springer London, Heidelberg, New York, Dordrecht 2016 3. Reif, K.: Brakes, Brake Control and Driver Assistance Systems - Function, Regulation and Components, Springer Vieweg, Wiesbaden 2015 4. Gauterin, F. / Gießler, M. / Gnadler, R.: Scriptum zur Vorlesung 'Automotive Engineering I', KIT, Institut für Fahrzeugsystemtechnik, Karlsruhe, jährlich aktualisiert

Industrial Engineering and Management M.Sc. 220 Module Handbook as of 30/09/2021 7 COURSES Course: Automotive Engineering II [T-MACH-102117]

T 7.33 Course: Automotive Engineering II [T-MACH-102117]

Responsible: Prof. Dr. Frank Gauterin Dr.-Ing. Hans-Joachim Unrau Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 2114835 Automotive Engineering II 2 SWS Lecture / 🖥 Unrau ST 2021 2114855 Automotive Engineering II 2 SWS Lecture / 🖥 Gießler Exams ST 2021 76-T-MACH-102117 Automotive Engineering II Unrau, Gauterin WT 21/22 76-T-MACH-102117 Automotive Engineering II Unrau, Gauterin WT 21/22 76T-MACH-102117-2 Automotive Engineering II Gauterin, Unrau

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Examination

Duration: 90 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Automotive Engineering II V Lecture (V) 2114835, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content 1. Chassis: Wheel suspensions (rear axles, front axles, kinematics of axles), tyres, springs, damping devices 2. Steering elements: Manual steering, servo steering, steer by wire 3. Brakes: Disc brake, drum brake, comparison of designs Learning Objectives: The students have an overview of the modules which are necessary for the tracking of a motor vehicle and the power transmission between vehicle bodywork and roadway. They have knowledge of different wheel suspensions, tyres, steering elements, and brakes. They know different design versions, functions and the influence on driving and braking behavior. They are able to correctly develop the appropriate components. They are ready to analyze, to evaluate, and to optimize the complex interaction of the different components under consideration of boundary conditions.

Organizational issues Kann nicht mit der Veranstaltung [2114855] kombiniert werden. Can not be combined with lecture [2114855]

Industrial Engineering and Management M.Sc. 221 Module Handbook as of 30/09/2021 7 COURSES Course: Automotive Engineering II [T-MACH-102117]

Literature 1. Heißing, B. / Ersoy, M.: Fahrwerkhandbuch: Grundlagen, Fahrdynamik, Komponenten, Systeme, Mechatronik, Perspektiven, Springer Vieweg, Wiesbaden, 2013

2. Breuer, B. / Bill, K.-H.: Bremsenhandbuch: Grundlagen - Komponenten - Systeme - Fahrdynamik, Springer Vieweg, Wiesbaden, 2017

3. Unrau, H.-J. / Gnadler, R.: Scriptum zur Vorlesung 'Grundlagen der Fahrzeugtechnik II', KIT, Institut für Fahrzeugsystemtechnik, Karlsruhe, jährliche Aktualisierung

Automotive Engineering II V Lecture (V) 2114855, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content

1. Chassis: Wheel suspensions (rear axles, front axles, kinematics of axles), tyres, springs, damping devices 2. Steering elements: Manual steering, servo steering, steer by wire 3. Brakes: Disc brake, drum brake, comparison of the designs

Learning Objectives: The students have an overview of the modules which are necessary for the tracking of a motor vehicle and the power transmission between vehicle and roadway. They have knowledge of different wheel suspensions, tyres, steering elements, and brakes. They know different design versions, functions and the influence on driving and braking behavior. They are able to correctly develop the appropriate components. They are ready to analyze, to evaluate, and to optimize the complex interaction of the different components under consideration of boundary conditions.

Literature Elective literature:

1. Robert Bosch GmbH: Automotive Handbook, 9th Edition, Wiley, Chichester 2015 2. Heißing, B. / Ersoy, M.: Chassis Handbook - fundamentals, driving dynamics, components, mechatronics, perspectives, Vieweg+Teubner, Wiesbaden 2011 3. Gießler, M. / Gnadler, R.: Script to the lecture "Automotive Engineering II", KIT, Institut of Vehicle System Technology, Karlsruhe, annual update

Industrial Engineering and Management M.Sc. 222 Module Handbook as of 30/09/2021 7 COURSES Course: Basics of German Company Tax Law and Tax Planning [T-WIWI-108711]

T 7.34 Course: Basics of German Company Tax Law and Tax Planning [T-WIWI-108711]

Responsible: Gerd Gutekunst Prof. Dr. Berthold Wigger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101511 - Advanced Topics in Public Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 2

Events

WT 21/22 2560134 Basics of German Company Tax Law 3 SWS Lecture / 🖥 Wigger, Gutekunst and Tax Planning Exams ST 2021 790unbe Basics of German Company Tax Law and Tax Planning Wigger WT 21/22 790unbe Basics of German Company Tax Law and Tax Planning Wigger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on the further pandemic development the assessment will consist either of an open book exam (following Art. 4, para. 2, clause 3 of the examination regulation), or of an 1.5 h written exam (following Art. 4, para. 2, clause 1 of the examination regulation).

Prerequisites None

Recommendation Knowledge of the collection of public revenues is assumed. Therefore it is recommended to attend the course “Öffentliche Einnahmen” beforehand.

Below you will find excerpts from events related to this course:

Basics of German Company Tax Law and Tax Planning V Lecture (V) 2560134, WS 21/22, 3 SWS, Language: German, Open in study portal Online

Content Workload: The total workload for this course is approximately 135.0 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 223 Module Handbook as of 30/09/2021 7 COURSES Course: Basics of Mobile Working Machines [T-MACH-110959]

T 7.35 Course: Basics of Mobile Working Machines [T-MACH-110959]

Responsible: Prof. Dr.-Ing. Marcus Geimer Organisation: KIT Department of Mechanical Engineering Part of: M-MACH-101267 - Mobile Machines

Type Credits Grading scale Recurrence Expansion Version Oral examination 9 Grade to a third Each term 2 terms 1

Events ST 2021 2114073 Mobile Machines 4 SWS Lecture / 🧩 Geimer, Lehr

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (45 min).

Prerequisites None

Annotation Content: From the lecture Fluid Power only the hydrostatic topics are required, from the lecture Mobile Machines all topics:

• property of fluids, • pumps and motors, • valves, • hydraulic circuits, • presentation of the components used and the most important mobile working machines, • basics and structure of the machines • practical insights into the development and application of the machines

Media:

• a set of slides for the lectures can be downloaded • a written script for the lecture Fluid Power • Book "Grundlagen mobiler Arbeitsmaschinen" (Basics of Mobile Working Machines), Karlsruhe Series of Publications Vehicle System Technology, Volume 22, KIT Scientific Publishing.

Below you will find excerpts from events related to this course:

Mobile Machines V Lecture (V) 2114073, SS 2021, 4 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• Introduction of the required components and machines • Basics of the structure of the whole system • Practical insight in the development techniques

Knowledge in Fluid Power is required. Recommendations: It is recommended to attend the course Fluid Power Systems [2114093] beforehand.

• regular attendance: 42 hours • self-study: 184 hours

Industrial Engineering and Management M.Sc. 224 Module Handbook as of 30/09/2021 7 COURSES Course: Basics of Technical Logistics I [T-MACH-109919]

T 7.36 Course: Basics of Technical Logistics I [T-MACH-109919]

Responsible: Dr.-Ing. Martin Mittwollen Jan Oellerich Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101279 - Technical Logistics

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each winter term 1

Events WT 21/22 2117095 Basics of Technical 3 SWS Lecture / Practice ( / Mittwollen, Oellerich Logistics 🧩 Exams ST 2021 76-T-MACH-109919 Basics of Technical Logistics I Mittwollen ST 2021 76-T-MACH-109919-mPr Basics of Technical Logistics I Mittwollen WT 21/22 76-T-MACH-109001 Basics of Technical Logistics I Mittwollen WT 21/22 76-T-MACH-109919 Basics of Technical Logistics I Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulation.

Prerequisites none

Recommendation Knowledge of the basics of technical mechanics preconditioned.

Below you will find excerpts from events related to this course:

Basics of Technical Logistics V Lecture / Practice (VÜ) 2117095, WS 21/22, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• effect model of conveyor machines • elements for the change of position and orientation • conveyor processes • identification systems • drives • mechanical behaviour of conveyors • structure and function of conveyor machines • elements of intralogistics • sample applications and calculations in addition to the lectures inside practical lectures

Students are able to:

• Describe processes and machines of technical logistics, • Model the fundamental structures and the impacts of material handling machines with mathematical models, • Refer to industrially used machines • Model real machines applying knowledge from lessons and calculate their dimensions.

Industrial Engineering and Management M.Sc. 225 Module Handbook as of 30/09/2021 7 COURSES Course: Basics of Technical Logistics I [T-MACH-109919]

Organizational issues Die Erfolgskontrolle erfolgt in Form einer schritflichen oder mündlichen Prüfung (nach §4 (2), 1 bzw. 2SPO). The assessment consists of a written or oral exam according to Section 4 (2), 1 or 2of the examination regulation. Es wird Kenntnis der Grundlagen der Technischen Mechanik vorausgesetzt. Basics knowledge of technical mechanics is preconditioned. Ergänzungsblätter, Präsentationen,Tafel. Supplementary sheets, presentations, blackboard. Präsenz: 48Std Nacharbeit: 132Std presence: 48h rework: 132h

Literature Empfehlungen in der Vorlesung / Recommendations during lessons

Industrial Engineering and Management M.Sc. 226 Module Handbook as of 30/09/2021 7 COURSES Course: Basics of Technical Logistics II [T-MACH-109920]

T 7.37 Course: Basics of Technical Logistics II [T-MACH-109920]

Responsible: Dr.-Ing. Maximilian Hochstein Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101279 - Technical Logistics

Type Credits Grading scale Recurrence Version Written examination 5 Grade to a third Each winter term 1

Events WT 21/22 2117098 Basics of Technical 3 SWS Lecture / Practice ( / Hochstein Logistics II 🧩 Exams ST 2021 76-T-MACH-109920 Basics of Technical Logistics II Hochstein, Mittwollen ST 2021 76-T-MACH-109920-mPr Basics of Technical Logistics II Mittwollen, Hochstein WT 21/22 76-T-MACH-109002 Basics of Technical Logistics II Hochstein, Mittwollen WT 21/22 76-T-MACH-109920 Basics of Technical Logistics II Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulation.

Prerequisites none

Recommendation Knowledge of the basics of technical mechanics and out of "Basic of Technical Logstics I" (T-MACH-109919) preconditioned.

Industrial Engineering and Management M.Sc. 227 Module Handbook as of 30/09/2021 7 COURSES Course: Behavioral Experiments in Action [T-WIWI-111393]

T 7.38 Course: Behavioral Experiments in Action [T-WIWI-111393]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Expansion Version Examination of another type 4,5 Grade to a third Each summer term 1 terms 1

Competence Certificate Gradings will be based on the quality of the experimental program, data, and the research report in Stage 2.

Prerequisites Experimental design (either take the course in our module, or gain basic knowledge of experimental design by self-education)

Annotation In this course, students will gain first-hand experience into how to conduct an experimental study in the area of behavioral economics/psychology. The course contains two stages. In Stage 1, students will learn how to plan, program, and run an experiment by attending to blocked lectures. In Stage 2, students will choose one classic experiment in the area of behavioral economics or psychology, conduct a replication of that experiment using the techniques acquired in Stage 1, and write a research report on the results of the replication. The number of participants is limited. The registration will take place via the Wiwi-Portal.

Industrial Engineering and Management M.Sc. 228 Module Handbook as of 30/09/2021 7 COURSES Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine I [T-MACH-100966]

T 7.39 Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine I [T-MACH-100966]

Responsible: apl. Prof. Dr. Andreas Guber Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101290 - BioMEMS

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 2

Events WT 21/22 2141864 BioMEMS - Microsystems 2 SWS Lecture / 🧩 Guber, Ahrens Technologies for Life-Sciences and Medicine I Exams ST 2021 76-T-MACH-100966 BioMEMS - Microsystems Technologies for Life-Sciences and Guber Medicine I WT 21/22 76-T-MACH-100966 BioMEMS - Microsystems Technologies for Life-Sciences and Guber Medicine I

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam (75 Min.)

Prerequisites none

Below you will find excerpts from events related to this course:

BioMEMS - Microsystems Technologies for Life-Sciences and Medicine I V Lecture (V) 2141864, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature Menz, W., Mohr, J., O. Paul: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 2005 M. Madou Fundamentals of Microfabrication Taylor & Francis Ltd.; Auflage: 3. Auflage. 2011

Industrial Engineering and Management M.Sc. 229 Module Handbook as of 30/09/2021 7 COURSES Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine II [T-MACH-100967]

T 7.40 Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine II [T-MACH-100967]

Responsible: apl. Prof. Dr. Andreas Guber Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101290 - BioMEMS

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2142883 BioMEMS - Microsystems 2 SWS Lecture / 🖥 Guber Technologies for Life-Sciences and Medicine II Exams ST 2021 76-T-MACH-100967 BioMEMS - Microsystems Technologies for Life-Sciences and Guber Medicine II WT 21/22 76-T-MACH-100967 BioMEMS - Microsystems Technologies for Life-Sciences and Guber Medicine II

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written exam (75 Min.)

Prerequisites none

Below you will find excerpts from events related to this course:

BioMEMS - Microsystems Technologies for Life-Sciences and Medicine II V Lecture (V) 2142883, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Examples of use in Life-Sciences and biomedicine: Microfluidic Systems: LabCD, Protein Cristallisation Microarrys Tissue Engineering Cell Chip Systems Drug Delivery Systems Micro reaction technology Microfluidic Cells for FTIR-Spectroscopy Microsystem Technology for Anesthesia, Intensive Care and Infusion Analysis Systems of Person´s Breath Neurobionics and Neuroprosthesis Nano Surgery

Organizational issues Die Vorlesung findet im Sommersemester aufgrund der aktuellen Situation bis auf Weiteres online statt. Zu jedem Vorlesungstermin werden via ILIAS die jeweiligen Folien im PDF-Format zur Verfügung gestellt. Die Vorlesung wird voraussichtlich mit der Software ZOOM oder MS Teams zu den im Vorlesungsverzeichnis angekündigten Terminen (hier: Montag 11:30 - 13:00 Uhr) durchgeführt werden. Weitere Informationen werden sobald wie möglich via ILIAS zur Verfügung gestellt.

Industrial Engineering and Management M.Sc. 230 Module Handbook as of 30/09/2021 7 COURSES Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine II [T-MACH-100967]

Literature Menz, W., Mohr, J., O. Paul: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 2005

Buess, G.: Operationslehre in der endoskopischen Chirurgie, Band I und II; Springer-Verlag, 1994 M. Madou Fundamentals of Microfabrication

Industrial Engineering and Management M.Sc. 231 Module Handbook as of 30/09/2021 7 COURSES Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine III [T-MACH-100968]

T 7.41 Course: BioMEMS - Microsystems Technologies for Life-Sciences and Medicine III [T-MACH-100968]

Responsible: apl. Prof. Dr. Andreas Guber Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101290 - BioMEMS

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2142879 BioMEMS - Microsystems 2 SWS Lecture / 🖥 Guber Technologies for Life-Sciences and Medicine III Exams ST 2021 76-T-MACH-100968 BioMEMS - Microsystems Technologies for Life-Sciences and Guber Medicine III WT 21/22 76-T-MACH-100968 BioMEMS - Microsystems Technologies for Life-Sciences and Guber Medicine III

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written exam (75 Min.)

Prerequisites none

Below you will find excerpts from events related to this course:

BioMEMS - Microsystems Technologies for Life-Sciences and Medicine III V Lecture (V) 2142879, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Examples of use in minimally invasive therapy Minimally invasive surgery (MIS) Endoscopic neurosurgery Interventional cardiology NOTES OP-robots and Endosystems License of Medical Products and Quality Management

Organizational issues Die Vorlesung findet im Sommersemester aufgrund der aktuellen Situation bis auf Weiteres online statt. Zu jedem Vorlesungstermin werden via ILIAS die jeweiligen Folien im PDF-Format zur Verfügung gestellt. Die Vorlesung wird voraussichtlich mit der Software ZOOM oder MS Teams zu den im Vorlesungsverzeichnis angekündigten Terminen (hier: Montag: 14:00 - 15:30 Uhr) durchgeführt werden. Weitere Informationen werden sobald wie möglich via ILIAS zur Verfügung gestellt.

Literature Menz, W., Mohr, J., O. Paul: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 2005

Buess, G.: Operationslehre in der endoskopischen Chirurgie, Band I und II; Springer-Verlag, 1994 M. Madou Fundamentals of Microfabrication

Industrial Engineering and Management M.Sc. 232 Module Handbook as of 30/09/2021 7 COURSES Course: Bionics for Engineers and Natural Scientists [T-MACH-102172]

T 7.42 Course: Bionics for Engineers and Natural Scientists [T-MACH-102172]

Responsible: apl. Prof. Dr. Hendrik Hölscher Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101290 - BioMEMS M-MACH-101294 - Nanotechnology

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 2142140 Bionics for Engineers and 2 SWS Lecture / 🖥 Hölscher, Greiner Natural Scientists Exams ST 2021 76-T-MACH-102172 Bionics for Engineers and Natural Scientists Hölscher WT 21/22 76-T-MACH-102172 Bionics for Engineers and Natural Scientists Hölscher

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written or oral exam

Prerequisites none

Below you will find excerpts from events related to this course:

Bionics for Engineers and Natural Scientists V Lecture (V) 2142140, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Bionics focuses on the design of technical products following the example of nature. For this purpose we have to learn from nature and to understand its basic design rules. Therefore, the lecture focuses on the analysis of the fascinating effects used by many plants and animals. Possible implementations into technical products are discussed in the end. The students should be able analyze, judge, plan and develop biomimetic strategies and products. Basic knowledge in physics and chemistry The successfull attandence of the lecture is controlled by a written examination.

Organizational issues Die Vorlesung findet im Sommersemester 2021 aufgrund der aktuellen Situation voraussichtlich online statt. Dabei werden unter anderem Methoden wie „Flipped Classroom“ genutzt und im ILIAS Materialien (Videos, Originalliteratur, Übungen) zum Selbststudium zur Verfügung gestellt. Zusätzlich wird zu den jeweiligen Vorlesungsterminen ein Online-Seminar mit der Software ZOOM durchgeführt, in dem Aufgaben, Übungen und Fragen besprochen werden. Nähere Informationen werden Anfang April 2021 im ILIAS zur Verfügung gestellt. Die Prüfung findet als Klausur statt und es werden zwei Termine angeboten werden (voraussichtlich in der ersten Woche nach Vorlesungsende im Sommersemester und in der ersten Woche vor Vorlesungsbeginn im Wintersemester).

Literature Folien und Literatur werden in ILIAS zur Verfügung gestellt.

Industrial Engineering and Management M.Sc. 233 Module Handbook as of 30/09/2021 7 COURSES Course: Blockchains & Cryptofinance [T-WIWI-108880]

T 7.43 Course: Blockchains & Cryptofinance [T-WIWI-108880]

Responsible: Dr. Philipp Schuster Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101409 - Electronic Markets M-WIWI-101446 - Market Engineering M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 1

Exams ST 2021 7900260 Blockchains & Cryptofinance (second attempt only) Uhrig-Homburg

Competence Certificate The examination is offered for the last time in winter semester 20/21 for first-time writers and then again for second attempts. The assessment consists of a written exam (75 min). A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by up to one grade level (0.3 or 0.4). Details will be announced in the lecture. Depending on further pandemic developments, the examination will be offered as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Recommendation None

Annotation The lecture is currently not offered.

Industrial Engineering and Management M.Sc. 234 Module Handbook as of 30/09/2021 7 COURSES Course: Bond Markets [T-WIWI-110995]

T 7.44 Course: Bond Markets [T-WIWI-110995]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2530560 Bond Markets 3 SWS Lecture / Practice ( Uhrig-Homburg, Müller Exams ST 2021 7900280 Bond Markets Uhrig-Homburg WT 21/22 7900311 Bond Markets Uhrig-Homburg

Competence Certificate The assessment consists of a written exam (75min.) A bonus can be earned through successful participation in the tutorial sessions. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by up to one level (0.3 or 0.4). The examination is offered in each semester and can be repeated at any regular examination date. Depending on further pandemic developments, the examination will be offered as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Annotation This course will be held in English.

Below you will find excerpts from events related to this course:

Bond Markets V Lecture / Practice (VÜ) 2530560, WS 21/22, 3 SWS, Language: English, Open in study portal

Content The lecture "Bond Markets" deals with the national and international bond markets, which are an important source of financing for companies, as well as for the public sector. After an overview of the most important bond markets, different yield definitions are discussed. Based on this, the concept of the yield curve is presented. In addition, the theoretical and empirical relationships between ratings, default probabilities and spreads are analyzed. The focus will then be on questions regarding the valuation, measurement, management and control of credit risks. The total workload for this course is approximately 135 hours (4.5 credits). The assessment consists of a written exam (75min.) (according to §4(2), 1 SPO). A bonus can be earned through successful participation in the tutorial sessions. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by up to one level (0.3 or 0.4). The examination is offered in each semester and can be repeated at any regular examination date. Students deepen their knowledge of national and international bond markets. They gain knowledge of the traded instruments and their key figures for describing default risk such as ratings, default probabilities or credit spreads.

Organizational issues Blockveranstaltung: Do 14:00-19:00 Uhr, Fr 9:45-17:15 Uhr 21./22.10., 04./05.11., 18./19.11.

Industrial Engineering and Management M.Sc. 235 Module Handbook as of 30/09/2021 7 COURSES Course: Bond Markets - Models & Derivatives [T-WIWI-110997]

T 7.45 Course: Bond Markets - Models & Derivatives [T-WIWI-110997]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events WT 21/22 2530565 Bond Markets - Models & 2 SWS Lecture / Practice ( Grauer, Uhrig- Derivatives Homburg Exams WT 21/22 7900318 Bond Markets - Models & Derivatives Uhrig-Homburg

Competence Certificate The assessment of success consists in equal parts of a written thesis and an oral exam including a discussion of one's own work. The main examination is offered once a year, re-examinations every semester.

Recommendation Knowledge of "Bond Markets" and "Derivatives" courses is very helpful.

Annotation This course will be held in English.

Below you will find excerpts from events related to this course:

Bond Markets - Models & Derivatives V Lecture / Practice (VÜ) 2530565, WS 21/22, 2 SWS, Language: English, Open in study portal

Content

• Competence Certificate: The assessment of success consists in equal parts of a written thesis and an oral exam (according to §4(2), 3 SPO) including a discussion of one's own work. The main examination is offered once a year, re-examinations every semester. • Competence Goal: Students deepen their knowledge of national and international bond markets. They are able to apply the knowledge they have gained about traded instruments and common valuation models for pricing derivative financial instruments. • Prerequisites: • Content: The lecture "Bond Markets – Models & Derivatives" deepens the content of the lecture "Bond Markets". The modelling of the dynamics of yield curves and the management of credit risks forms the theoretical foundation for the valuation of interest rate and credit derivatives to be discussed. In this course, students deal intensively with selected topics and acquire the relevant knowledge on their own. • Recommendation: Knowledge of "Bond Markets" and "Derivatives" courses is very helpful. • Workload: The total workload for this course is approximately 90 hours (3.0 credits).

Organizational issues Blockveranstaltung, Kickoff am 03.12.21, Präsentation am 11.02.22

Industrial Engineering and Management M.Sc. 236 Module Handbook as of 30/09/2021 7 COURSES Course: Bond Markets - Tools & Applications [T-WIWI-110996]

T 7.46 Course: Bond Markets - Tools & Applications [T-WIWI-110996]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each winter term 1

Events WT 21/22 2530562 Bond Markets - Tools & 1 SWS Block Uhrig-Homburg, Applications Grauer Exams WT 21/22 7900317 Bond Markets - Tools & Applications Uhrig-Homburg

Competence Certificate The assessment consists of an empirical case study with written elaboration and presentation. The main examination is offered once a year, re-examinations every semester.

Recommendation Knowledge of the "Bond Markets" course is very helpful.

Annotation This course will be held in English.

Below you will find excerpts from events related to this course:

Bond Markets - Tools & Applications V Block (B) 2530562, WS 21/22, 1 SWS, Language: English, Open in study portal

Content

• Competence Certificate: The assessment consists of an empirical case study with written elaboration and presentation (according to $4(2), 3 SPO). The main examination is offered once a year, re-examinations every semester. • Competence Goal: The students apply various methods in practice within the framework of a project-related case study. They are able to deal with empirical data and analyze them in a targeted manner. • Content: The course "Bond Markets – Tools & Applications" includes a hands-on project in the field of national and international bond markets. Using empirical datasets, the students have to apply practical methods in order to analyze the data in a targeted manner. • Recommendation: Knowledge of the "Bond Markets" course is very helpful. • Workload: The total workload for this course is approximately 45 hours (1.5 credits).

Organizational issues Blockveranstaltung, Kickoff am 21./22.10.21 in der Blockveranstaltung Bond Markets (Ort tba), Präsentation am 03.12.21 Seminarraum 320 Geb. 09.21

Industrial Engineering and Management M.Sc. 237 Module Handbook as of 30/09/2021 7 COURSES Course: Boosting of Combustion Engines [T-MACH-105649]

T 7.47 Course: Boosting of Combustion Engines [T-MACH-105649]

Responsible: Dr.-Ing. Johannes Kech Dr.-Ing. Heiko Kubach Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events ST 2021 2134153 Boosting of Combustion Engines 2 SWS / 🧩 Kech

WT 21/22 2134153 Boosting of Combustion Engines 2 SWS / 🗣 Kech Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, 20 min

Prerequisites none

Industrial Engineering and Management M.Sc. 238 Module Handbook as of 30/09/2021 7 COURSES Course: Building Laws [T-BGU-103429]

T 7.48 Course: Building Laws [T-BGU-103429]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction M-BGU-101888 - Project Management in Construction

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 6241803 Baurecht 2 SWS Lecture / 🖥 Miernik, Kohlhammer Exams ST 2021 8240103429 Building Laws Haghsheno

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 239 Module Handbook as of 30/09/2021 7 COURSES Course: BUS-Controls [T-MACH-102150]

T 7.49 Course: BUS-Controls [T-MACH-102150]

Responsible: Simon Becker Prof. Dr.-Ing. Marcus Geimer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 2

Events ST 2021 2114092 BUS-Controls 2 SWS Lecture / 🧩 Geimer, Metzger Exams ST 2021 76T-MACH-102150 BUS-Controls Geimer WT 21/22 76T-MACH-102150 BUS-Controls Geimer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min) taking place in the recess period. The exam takes place in every semester. Re- examinations are offered at every ordinary examination date.

Prerequisites Required for the participation in the examination is the preparation of a report during the semester. The partial service with the code T-MACH-108889 must have been passed.

Recommendation Basic knowledge of electrical engineering is recommended. Programming skills are also helpful. The number of participants is limited. A registration in mandatory, the details will be announced on the webpages of the Institute of Vehicle System Technology / Institute of Mobile Machines. In case of too many applications, attendance will be granted based on pre- qualification.

Annotation The students will get an overview of the theoretic and practical functioning of different bus systems. After the practical oriented lessons the students will be able to visualize the communication structure of different applications, design basic systems and evaluate the complexity of programming of the complete system. Hereunto the students program in the practical orientated lessons IFM-controllers using the programming environment CoDeSys. Content:

• Knowledge of the basics of data communication in networks • Overview of the operating mode of current field buses • Explicit observation of the operating mode and application areas of CAN buses • Practical programming of an example application (hardware is provided)

Literature:

• Etschberger, K.: Controller Area Network, Grundlagen, Protokolle, Bausteine, Anwendungen; München, Wien: Carl Hanser Verlag, 2002. • Engels, H.: CAN-Bus - CAN-Bus-Technik einfach, anschaulich und praxisnah dargestellt; Poing: Franzis Verlag, 2002.

Below you will find excerpts from events related to this course:

BUS-Controls V Lecture (V) 2114092, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 240 Module Handbook as of 30/09/2021 7 COURSES Course: BUS-Controls [T-MACH-102150]

Content

• Knowledge of the basics of data communication in networks • Overview of the operating mode of current field buses • Explicit observation of the operating mode and application areas of CAN buses • Practical programming of an example application (hardware is provided)

Basic knowledge of electrical engineering is recommended. Programming skills are also helpful.

• regular attendance: 21 hours • self-study: 92 hours

Literature Weiterführende Literatur:

• Etschberger, K.: Controller Area Network, Grundlagen, Protokolle, Bausteine, Anwendungen; München, Wien: Carl Hanser Verlag, 2002. • Engels, H.: CAN-Bus - CAN-Bus-Technik einfach, anschaulich und praxisnah dargestellt; Poing: Franzis Verlag, 2002.

Industrial Engineering and Management M.Sc. 241 Module Handbook as of 30/09/2021 7 COURSES Course: BUS-Controls - Advance [T-MACH-108889]

T 7.50 Course: BUS-Controls - Advance [T-MACH-108889]

Responsible: Kevin Daiß Prof. Dr.-Ing. Marcus Geimer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Completed coursework 0 pass/fail Each summer term 1

Exams ST 2021 76-T-MACH-108889 BUS-Controls - Advance Geimer WT 21/22 76-T-MACH-108889 BUS-Controls - Advance Geimer

Competence Certificate Creation of control program

Prerequisites none

Industrial Engineering and Management M.Sc. 242 Module Handbook as of 30/09/2021 7 COURSES Course: Business Data Analytics: Application and Tools [T-WIWI-109863]

T 7.51 Course: Business Data Analytics: Application and Tools [T-WIWI-109863]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103117 - Data Science: Data-Driven Information Systems M-WIWI-103118 - Data Science: Data-Driven User Modeling

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2540466 Business Data Analytics: 2 SWS Lecture / 🖥 Dann, Grote, Stoeckel Application and Tools

ST 2021 2540467 Excercise Business Data Analytics: 1 SWS Practice / 🖥 Badewitz, Grote, Sterk Application and Tools Exams ST 2021 7900183 Business Data Analytics: Application and Tools Weinhardt ST 2021 7900189 Business Data Analytics: Application and Tools Weinhardt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Success is monitored through ongoing elaborations and presentations of tasks and a written exam (60 minutes) at the end of the lecture period. Successful participation in the excercises is a prerequisite for admission to the written examination. The scoring scheme for the overall evaluation will be announced at the beginning of the course.

Prerequisites None

Recommendation Knowledge of (object-oriented) programming and statistics is helpful.

Annotation Course name until winter semester 2018/2019 "Applied Analytics with Open Source Tools" (T-WIWI-108438)

Below you will find excerpts from events related to this course:

Business Data Analytics: Application and Tools V Lecture (V) 2540466, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 243 Module Handbook as of 30/09/2021 7 COURSES Course: Business Data Strategy [T-WIWI-106187]

T 7.52 Course: Business Data Strategy [T-WIWI-106187]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103117 - Data Science: Data-Driven Information Systems

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2540484 Business Data Strategy 2 SWS Lecture Weinhardt, Dinther WT 21/22 2540485 Übung zu Business Data Strategy 1 SWS Practice Weinhardt, Badewitz

Competence Certificate The assessment consists of a written exam (60 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulationand an alternative exam assessment according to § 4 paragraph 2 Nr. 3 of the examination regulation. The grade isdetermined by 2/3 through the written exam and by 1/3 through the alternative exam assessment (e.g., presentation).

Prerequisites None

Recommendation Students should be familiar with basic concepts of business organisations, information systems, and programming. However, all material will be introduced, so no formal pre-conditions are applied.

Annotation Limited number of participants.

Below you will find excerpts from events related to this course:

Business Data Strategy V Lecture (V) 2540484, WS 21/22, 2 SWS, Language: English, Open in study portal

Content With new methods for capturing and using different types of data and industry’s recognition that society’s use of data is less than optimal, the need for comprehensive strategies is more important than ever before. Advances in cybersecurity and information sharing and the use of data in its raw form for decision making all add to the complexity of integrated processes, ownership, stewardship, and sharing. The life cycle of data in its entirety spans the infrastructure, system design, development, integration, and implementation of information-enabling solutions. This lecture focuses on teaching about these dynamics and tools to comprehend and manage them in organisation contexts. Given the increasing size and complexity of data, methods for the transformation and structured preparation are an important tool in the process of sense–making. Modern software solutions and programming languages provide frameworks for such tasks that form another part of this course ranging from conceptual systems modelling to data manipulation to automated generation of HTML reports and web-applications.

Organizational issues Application/Registration Attendance will be limited to 20-25 participants. Application/registration is therefore preliminary. After the application deadline has passed, positions will be allocated, based on evaluation of the previous study records. Applications are accepted only through the Wiwi-Portal: https://portal.wiwi.kit.edu/ys/5254 Anmeldung Die Teilnehmeranzahl ist begrenzt (ca. 20-25 Plätze). Eine Anmeldung erfolgt deshalb zunächst unter Vorbehalt. Nach Ablauf der Anmeldefrist werden die Plätze zur Teilnahme, nach Einsicht der Vorleistungen im Studium vergeben. Die Anmeldung/Bewerbung erfolgt ausschließlich über das Wiwi-Portal: https://portal.wiwi.kit.edu/ys/5254

Industrial Engineering and Management M.Sc. 244 Module Handbook as of 30/09/2021 7 COURSES Course: Business Dynamics [T-WIWI-102762]

T 7.53 Course: Business Dynamics [T-WIWI-102762]

Responsible: Prof. Dr. Andreas Geyer-Schulz Dr Paul Glenn Organisation: KIT Department of Economics and Management Part of: M-WIWI-101409 - Electronic Markets M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2540531 Business Dynamics 2 SWS Lecture Geyer-Schulz, Glenn WT 21/22 2540532 Exercise Business Dynamics 1 SWS Practice Geyer-Schulz, Glenn Exams ST 2021 7900317 Business Dynamics (Nachklausur WS 2020/2021) Geyer-Schulz

Competence Certificate Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Business Dynamics V Lecture (V) 2540531, WS 21/22, 2 SWS, Language: German, Open in study portal

Literature John D. Sterman. Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill, 2000.

Industrial Engineering and Management M.Sc. 245 Module Handbook as of 30/09/2021 7 COURSES Course: Business Intelligence Systems [T-WIWI-105777]

T 7.54 Course: Business Intelligence Systems [T-WIWI-105777]

Responsible: Prof. Dr. Alexander Mädche Mario Nadj Dr. Peyman Toreini Organisation: KIT Department of Economics and Management Part of: M-WIWI-101506 - Service Analytics M-WIWI-101510 - Cross-Functional Management Accounting M-WIWI-103117 - Data Science: Data-Driven Information Systems M-WIWI-104068 - Information Systems in Organizations

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 2

Events WT 21/22 2540422 Business Intelligence Systems 3 SWS Lecture Mädche, Nadj Exams ST 2021 7900149 Business Intelligence Systems Mädche WT 21/22 7900224 Business Intelligence Systems Mädche

Competence Certificate Alternative exam assessment. The assessment consists of a one-hour exam and the implementation of a Capstone project. Details will be announced at the beginning of the course.

Prerequisites None

Recommendation Basic knowledge on database systems is helpful.

Below you will find excerpts from events related to this course:

Business Intelligence Systems V Lecture (V) 2540422, WS 21/22, 3 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 246 Module Handbook as of 30/09/2021 7 COURSES Course: Business Intelligence Systems [T-WIWI-105777]

Content In most modern enterprises, Business Intelligence & Analytics (BI&A) Systems represent a core enabler of decision-making in that they are supplying up-to-date and accurate information about all relevant aspects of a company’s planning and operations: from stock levels to sales volumes, from process cycle times to key indicators of corporate performance. Modern BI&A systems leverage beyond reporting and dashboards also advanced analytical functions. Thus, today they also play a major role in enabling data- driven products and services. The aim of this course is to introduce theoretical foundations, concepts, tools, and current practice of BI&A Systems from a managerial and technical perspective.

The course is complemented with an engineering capstone project, where students work in a team with real-world use cases and data in order to create running Business intelligence & Analytics system prototypes.

Learning objectives

• Understand the theoretical foundations of key Business Intelligence & Analytics concepts supporting decision-making • Explore key capabilities of state-of-the-art Business Intelligence & Analytics Systems • Learn how to successfully implement and run Business Intelligence & Analytics Systems from multiple perspectives, e.g. architecture, data management, consumption, analytics • Get hands-on experience by working with Business Intelligence & Analytics Systems with real-world use cases and data

Prerequisites This course is limited to a capacity of 50 places. The capacity limitation is due to the attractive format of the accompanying engineering capstone project. Strong analytic abilities and profound skills in SQL as wells as Python and/or R are required. Students have to apply with their CV and transcript of records.

Literature

• Turban, E., Aronson, J., Liang T.-P., Sharda, R. 2008. “Decision Support and Business Intelligence Systems”. • Watson, H. J. 2014. “Tutorial: Big Data Analytics: Concepts, Technologies, and Applications,” Communications of the Association for Information Systems (34), p. 24. • Arnott, D., and Pervan, G. 2014. “A critical analysis of decision support systems research revisited: The rise of design science,” Journal of Information Technology (29:4), Nature Publishing Group, pp. 269–293 (doi: 10.1057/jit.2014.16). • Carlo, V. (2009). “Business intelligence: data mining and optimization for decision making”. Editorial John Wiley and Sons, 308-317. • Chen, H., Chiang, R. H. L, and Storey, V. C. 2012. „Business Intelligence and Analytics: From Big Data to Big Impact,“ MIS Quarterly (36:4), pp. 1165-1188. • Davenport, T. 2014. Big Data @ Work, Boston, MA: Harvard Business Review. • Economist Intelligence Unit. 2015 “Big data evolution: Forging new corporate capabilities for the long term” • Power, D. J. 2008. “Decision Support Systems: A Historical Overview,” Handbook on Decision Support Systems, pp. 121– 140 (doi: 10.1007/978-3-540-48713-5_7). • Sharma, R., Mithras, S., and Kankanhalli, A. 2014. „Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations,“ European Journal of Information Systems (23:4), pp. 433-441. • Silver, M. S. 1991. “Decisional Guidance for Computer-Based Decision Support,” MIS Quarterly (15:1), pp. 105-122.

Further literature will be made available in the lecture.

Industrial Engineering and Management M.Sc. 247 Module Handbook as of 30/09/2021 7 COURSES Course: Business Models in the Internet: Planning and Implementation [T-WIWI-102639]

T 7.55 Course: Business Models in the Internet: Planning and Implementation [T- WIWI-102639]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101410 - Business & Service Engineering M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-102806 - Service Innovation, Design & Engineering

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2540456 Internet Business Models 2 SWS Lecture / 🖥 Huber ST 2021 2540457 Übungen zu Geschäftsmodelle im 1 SWS Practice / 🖥 Richter, Huber, Fegert Internet: Planung und Umsetzung Exams ST 2021 7910454 Business Models in the Internet: Planning and Implementation Weinhardt ST 2021 7979234 Business Models in the Internet: Planning and Implementation Weinhardt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Please note that in the summer semester 2020 the exam will only be offered to students who have completed the semester performance but have not yet taken the exam. From summer semester 2021 the exam will be offered again regularly. Success is monitored through ongoing elaborations and presentations of tasks and a written exam (60 minutes) at the end of the lecture period. The scoring scheme for the overall evaluation will be announced at the beginning of the course. Successful participation in the excercises is a prerequisite for admission to the written examination.

Prerequisites None

Recommendation None

Annotation Please note that the lecture will not be offered in summer semester 2020 due to the research semester of Prof. Weinhardt.

Below you will find excerpts from events related to this course:

Internet Business Models V Lecture (V) 2540456, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature Wird in der Vorlesung bekannt gegeben.

Industrial Engineering and Management M.Sc. 248 Module Handbook as of 30/09/2021 7 COURSES Course: Business Planning [T-WIWI-102865]

T 7.56 Course: Business Planning [T-WIWI-102865]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon)

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2545007 Business Planning for Founders 2 SWS Seminar / 🖥 Kleinn, Ntagiakou, Terzidis

ST 2021 2545109 Business Planning for Founders in 2 SWS Seminar / 🖥 Ntagiakou, Terzidis the field of IT-Security (KASTEL)

WT 21/22 2545007 Business Planning for Founders 2 SWS Seminar / 🖥 Wohlfeil, Bauman Exams ST 2021 7900234 Business Planning for Founders Terzidis ST 2021 7900236 Business Planning for Founders in the field of IT-Security Terzidis WT 21/22 7900023 Business Planning for Founders Terzidis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Business Planning for Founders V Seminar (S) 2545007, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The seminar introduces students to the basic concepts of business planning for entrepreneurs. On the one hand, this involves concepts for the concretisation of business ideas (business modelling, market potential assessment, resource planning, etc.) and on the other hand, the preparation of an implementable business plan (with or without VC financing). In the course of the seminar, the students are familiarized with methods of further developing patents and business ideas into a more concrete business plan and formulating them in a business plan.

Organizational issues Block am 26.04., 03.05., 10.05. jeweils 9-17 Uhr

Business Planning for Founders in the field of IT-Security (KASTEL) V Seminar (S) 2545109, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Industrial Engineering and Management M.Sc. 249 Module Handbook as of 30/09/2021 7 COURSES Course: Business Planning [T-WIWI-102865]

Content In order to identify opportunities, the participants should identify fields for entrepreneurial opportunities in a systematic web research. For this purpose, Systematic Mapping procedures will be adapted to the research of general web sources and applied to the research of interesting fields in the area of cyber security. Information about the seminar: In the seminar you will work in groups of max. 4 persons. Group applications are welcome but not a prerequisite for participation. Some of the seminars will be held in English. The focus of the seminar is Opportunity Recognition in the field of IT-Security, followed by ideation sessions with the aim to find possible applications for technologies that are developed at the KIT. Prototyping and also Pitching are part of the seminar. Target group: Master Students Information on the allocation of seminar places: The registration for the seminar is possible in the Wiwi portal in the period from 11.09.2019 to 05.10.2019 at 23:55 clock. To apply for the seminar, please send us a letter of motivation (max. 5 sentences). Seminar contents:

• To identify opportunities, the participants should identify fields for entrepreneurial opportunities in a systematic web research. For this purpose, Systematic Mapping procedures will be adapted to the research of general web sources and applied to the research of interesting fields in the area of cyber security. • All information will be discussed with experts on the second seminar day. The aim of the first two sessions is to develop a systematic segmentation of market needs. • After the teams have been formed, the workshop "Technology Application Selection (TAS)" follows. This is a framework developed by EnTechnon that will help the teams to develop concrete business ideas based on given technologies. The three steps of the TAS will be the content of the third and fourth seminar days. Participants will generate ideas and then - based on specific criteria that we will provide - choose an idea on which they will build their value proposition. • The final session before the final day will deal with prototyping and validation. This will use rapid prototyping and validation methods from the design thinking environment. • On the last day - before their final presentations - the participants learn how to present the idea in a short presentation (pitch) to an interested audience.

Organizational issues Blockveranstaltung im Rahmen des KASTEL Projekts am 12.05., 09.06., 23.06.

Business Planning for Founders V Seminar (S) 2545007, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content The seminar introduces students to basic concepts of business planning based on technological innovations. On the one hand, this involves concepts for the concretization of business ideas (business modeling, market potential assessment, resource planning, etc.) and, on the other hand, the creation of a feasible business plan (with or without VC financing). During the seminar, students are familiarized with methods to develop technological inventions and initial business ideas into a more concrete business plan. After completing this seminar, students will have learned and actually practiced the whole business model development process.

Industrial Engineering and Management M.Sc. 250 Module Handbook as of 30/09/2021 7 COURSES Course: Business Process Modelling [T-WIWI-102697]

T 7.57 Course: Business Process Modelling [T-WIWI-102697]

Responsible: Prof. Dr. Andreas Oberweis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 2

Events WT 21/22 2511210 Business Process Modelling 2 SWS Lecture Oberweis WT 21/22 2511211 Exercise Business Process 1 SWS Practice / 🧩 Oberweis, Schüler Modelling Exams ST 2021 7900047 Business Process Modelling (Registration until 12 July 2021) Oberweis WT 21/22 7900015 Business Process Modelling Oberweis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation in the first week after lecture period.

Prerequisites None

Below you will find excerpts from events related to this course:

Business Process Modelling V Lecture (V) 2511210, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The proper modeling of relevant aspects of business processes is essential for an efficient and effective design and implementation of processes. This lecture presents different classes of modeling languages and discusses the respective advantages and disadvantages of using actual application scenarios. For that simulative and analytical methods for process analysis are introduced. In the accompanying exercise the use of process modeling tools is practiced. Learning objectives: Students

• describe goals of business process modeling and aplly different modeling languages, • choose the appropriate modeling language according to a given context, • use suitable tools for modeling business processes, • apply methods for analysing and assessing process modells to evaluate specific quality characteristics of the process model.

Recommendations: Knowledge of course Applied Informatics I - Modelling is expected. Workload:

• Lecture 30h • Exercise 15h • Preparation of lecture 24h • Preparation of exercises 25h • Exam preparation 40h • Exam 1h

Industrial Engineering and Management M.Sc. 251 Module Handbook as of 30/09/2021 7 COURSES Course: Business Process Modelling [T-WIWI-102697]

Literature

• M. Weske: Business Process Management: Concepts, Languages, Architectures. Springer 2012. • F. Schönthaler, G.Vossen, A. Oberweis, T. Karl: Business Processes for Business Communities: Modeling Languages, Methods, Tools. Springer 2012.

Weitere Literatur wird in der Vorlesung bekannt gegeben.

Industrial Engineering and Management M.Sc. 252 Module Handbook as of 30/09/2021 7 COURSES Course: Business Strategies of Banks [T-WIWI-102626]

T 7.58 Course: Business Strategies of Banks [T-WIWI-102626]

Responsible: Prof. Dr. Wolfgang Müller Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events

ST 2021 2530299 Business Strategies of Banks 2 SWS Lecture / 🗙 Müller WT 21/22 2530299 Business Strategies of Banks 2 SWS Lecture Müller Exams ST 2021 7900079 Business Strategies of Banks Müller WT 21/22 7900064 Business Strategies of Banks Müller, Ruckes

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate See German version.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Business Strategies of Banks V Lecture (V) 2530299, SS 2021, 2 SWS, Language: German, Open in study portal Cancelled

Literature Weiterführende Literatur:

• Ein Skript wird im Verlauf der Veranstaltung kapitelweise ausgeteilt. • Hartmann-Wendels, Thomas; Pfingsten, Andreas; Weber, Martin; 2014, Bankbetriebslehre, 6. Auflage, Springer

Business Strategies of Banks V Lecture (V) 2530299, WS 21/22, 2 SWS, Language: German, Open in study portal

Organizational issues Die Veranstaltung findet nur statt, wenn sie in Präsenz stattfinden kann. Termine und Räume laut Ankündigung am Institut.

Literature Weiterführende Literatur:

• Ein Skript wird im Verlauf der Veranstaltung kapitelweise ausgeteilt. • Hartmann-Wendels, Thomas; Pfingsten, Andreas; Weber, Martin; 2014, Bankbetriebslehre, 6. Auflage, Springer

Industrial Engineering and Management M.Sc. 253 Module Handbook as of 30/09/2021 7 COURSES Course: Case Studies Seminar: Innovation Management [T-WIWI-102852]

T 7.59 Course: Case Studies Seminar: Innovation Management [T-WIWI-102852]

Responsible: Prof. Dr. Marion Weissenberger-Eibl Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events WT 21/22 2545105 Case studies seminar: Innovation 2 SWS Seminar / 🧩 Weissenberger-Eibl management

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessments (§4(2), 3 SPO).

Prerequisites None

Recommendation Prior attendance of the course Innovation Management is recommended.

Below you will find excerpts from events related to this course:

Case studies seminar: Innovation management V Seminar (S) 2545105, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content The objective of the seminar is to master selected concepts and methods of innovation management and then to apply these practically. Working in groups, the students apply the described concepts and methods of innovation management to a case study from the automotive industry to answer specific questions. Accordingly, the block seminar involves a switch from input to the application of this input. At the end, the results of the group work are presented in the form of a seminar paper and discussed by the whole course. A short introduction to presentation techniques is planned to help students prepare the seminar papers.

Literature Werden in der ersten Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 254 Module Handbook as of 30/09/2021 7 COURSES Course: CATIA Advanced [T-MACH-105312]

T 7.60 Course: CATIA Advanced [T-MACH-105312]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 1

Events ST 2021 2123380 CATIA advanced 3 SWS Project (P / 🧩 Ovtcharova, Mitarbeiter WT 21/22 2123380 Advanced CATIA 3 SWS Project (P / 🧩 Ovtcharova, Mitarbeiter Exams ST 2021 76-T-MACH-105312 CATIA Advanced Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Assessment of another type. Design project and written documentation in team work and final presentation. Grading: Project work 3/5, documentation 1/5 and presentation 1/5.

Prerequisites none

Below you will find excerpts from events related to this course:

CATIA advanced V Project (PRO) 2123380, SS 2021, 3 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content In this design project, students develop a product in small groups according to an agile approach using the 3DEXPERIENCE platform (CATIA V6) from Dassault Systèmes. The extended functionalities of the platform are addressed and model-based work is carried out. The development process is traced from the idea to the finished model. The main focus is on independent solution finding, teamwork, function fulfillment, production and design. The project results are presented at the end of the semester.

Organizational issues Siehe ILIAS-Kurs.

Literature Keine / None

Advanced CATIA V Project (PRO) 2123380, WS 21/22, 3 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content In this design project, students develop a product in small groups according to an agile approach using the 3DEXPERIENCE platform (CATIA V6) from Dassault Systèmes. The extended functionalities of the platform are addressed and model-based work is carried out. The development process is traced from the idea to the finished model. The main focus is on independent solution finding, teamwork, function fulfillment, production and design. The project results are presented at the end of the semester.

Organizational issues Siehe ILIAS zur Lehrveranstaltung

Industrial Engineering and Management M.Sc. 255 Module Handbook as of 30/09/2021 7 COURSES Course: CATIA Advanced [T-MACH-105312]

Literature Keine / None

Industrial Engineering and Management M.Sc. 256 Module Handbook as of 30/09/2021 7 COURSES Course: CATIA CAD Training Course [T-MACH-102185]

T 7.61 Course: CATIA CAD Training Course [T-MACH-102185]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Completed coursework (practical) 2 pass/fail Each term 2

Events

ST 2021 2123358 CATIA CAD training course 3 SWS Practical course / 🖥 Ovtcharova, Mitarbeiter WT 21/22 2123358 CATIA CAD training course 2 SWS Practical course / 🧩 Ovtcharova, Mitarbeiter Exams ST 2021 76-T-MACH-102185 CATIA CAD Training Course Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Practical examination on CAD computer, duration: 60 min.

Prerequisites None

Recommendation Dealing with technical drawings is required.

Annotation For the practical course attendance is compulsory.

Below you will find excerpts from events related to this course:

CATIA CAD training course V Practical course (P) 2123358, SS 2021, 3 SWS, Language: German/English, Open in study portal Online

Content

• Basics of CATIA such as user interface, handling etc. • Production and processing of different model types • Production of basic geometries and parts • Generation of detailed drawings • Integration of partial solutions in modules • Working with constrains • Strength analysis with FEM • Kinematic simulation with DMU • Dealing with CATIA Knowledgeware

Students are able to:

• create their own 3D geometric models in the CAD system CATIA and generate drawings due to the created geometry • carry out FE-studies and kinematic simulations using the integrated CAE tools • use advanced, knowledge-based functionalities of CATIA to automate the creation of geometry and thus to ensure the reusability of the models.

Organizational issues Das Praktikum wird mehrmals in der vorlesungsfreien Zeit als einwöchige Blockveranstaltung angeboten. Weitere Informationen siehe ILIAS.

Industrial Engineering and Management M.Sc. 257 Module Handbook as of 30/09/2021 7 COURSES Course: CATIA CAD Training Course [T-MACH-102185]

Literature Praktikumskript

CATIA CAD training course V Practical course (P) 2123358, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• Basics of CATIA such as user interface, handling etc. • Production and processing of different model types • Production of basic geometries and parts • Generation of detailed drawings • Integration of partial solutions in modules • Working with constrains • Strength analysis with FEM • Kinematic simulation with DMU • Dealing with CATIA Knowledgeware

Students are able to:

• create their own 3D geometric models in the CAD system CATIA and generate drawings due to the created geometry • carry out FE-studies and kinematic simulations using the integrated CAE tools • use advanced, knowledge-based functionalities of CATIA to automate the creation of geometry and thus to ensure the reusability of the models.

Organizational issues Siehe ILIAS zur Lehrveranstaltung

Literature Praktikumskript

Industrial Engineering and Management M.Sc. 258 Module Handbook as of 30/09/2021 7 COURSES Course: Ceramic Processing Technology [T-MACH-102182]

T 7.62 Course: Ceramic Processing Technology [T-MACH-102182]

Responsible: Dr. Joachim Binder Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events ST 2021 2126730 Ceramics Processing 2 SWS Lecture / 🧩 Binder Exams ST 2021 76-T-MACH-102182 Ceramic Processing Technology Binder

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (approx. 20 min) taking place at the agreed date. Auxiliary means: none The re-examination is offered upon agreement.

Prerequisites none

Below you will find excerpts from events related to this course:

Ceramics Processing V Lecture (V) 2126730, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature W. Kollenberg: Technische Keramik, Vulkan Verlag 2010. M. N. Rahaman: Ceramic Processing, CRC Taylor & Francis, 2007. D.W. Richerson: Modern ceramic engineering, CRC Taylor & Francis, 2006. A. G. King: Ceramic Technology and Processing, William Andrew, 2002.

Industrial Engineering and Management M.Sc. 259 Module Handbook as of 30/09/2021 7 COURSES Course: Challenges in Supply Chain Management [T-WIWI-102872]

T 7.63 Course: Challenges in Supply Chain Management [T-WIWI-102872]

Responsible: Esther Mohr Organisation: KIT Department of Economics and Management Part of: M-WIWI-102805 - Service Operations M-WIWI-102808 - Digital Service Systems in Industry

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2550494 Challenges in Supply Chain 3 SWS Lecture / 🖥 Mohr Management Exams ST 2021 7900358 Challenges in Supply Chain Management Nickel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written paper and an oral exam of ca. 30-40 min.

Prerequisites None

Recommendation Basic knowledge as conveyed in the module "Introduction to Operations Research" is assumed.

Annotation The number of course participants is limited to 12 participants due to joint work in BASF project teams. Due to these capacity restrictions, registration before course start is required. For further information see the webpage of the course. The course is offered irregularly. The planned lectures and courses for the next three years are announced online.

Below you will find excerpts from events related to this course:

Challenges in Supply Chain Management V Lecture (V) 2550494, SS 2021, 3 SWS, Language: English, Open in study portal Online

Content The course consists of case studies of BASF which cover future challenges of supply chain management. Thus, the course aims at a case-study based presentation, critical evaluation and exemplary discussion of recent questions in supply chain management. The focus lies on future challenges and trends, also with regard to their applicability in practical cases (especially in the chemical industry). The main part of the course is working on a project together with BASF in Ludwigshafen. The students get in touch with scientific working: The in-depth work with a special scientific topic makes the students familiar with scientific literature research and argumentation methods. As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the project topic. This course will include working on cutting edge supply chain topics like Industry 4.0 / “Internet of Everything in production”, supply chain analytics, risk management, procurement and production in SCM. The team essays / project reports will be linked to industry-related challenges as well as to upcoming theoretical concepts. The topics of the seminar will be announced at the beginning of the term in a preliminary meeting.

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Literature Wird in Abhängigkeit vom Thema in den Projektteams bekanntgegeben.

Industrial Engineering and Management M.Sc. 260 Module Handbook as of 30/09/2021 7 COURSES Course: Characteristics of Transportation Systems [T-BGU-106609]

T 7.64 Course: Characteristics of Transportation Systems [T-BGU-106609]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 6232806 Eigenschaften von Verkehrsmitteln 2 SWS Lecture / 🖥 Vortisch Exams ST 2021 8240106609 Characteristics of Transportation Systems Vortisch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 261 Module Handbook as of 30/09/2021 7 COURSES Course: CO2-Neutral Combustion Engines and their Fuels I [T-MACH-111550]

T 7.65 Course: CO2-Neutral Combustion Engines and their Fuels I [T-MACH-111550]

Responsible: Prof. Dr. Thomas Koch Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101275 - Combustion Engines I

Type Credits Grading scale Recurrence Expansion Version Oral examination 4 Grade to a third Each winter term 1 terms 1

Events WT 21/22 2133113 CO2-neutral combustion 4 SWS Lecture / Practice ( / Koch engines and their fuels I 🗣 Exams WT 21/22 76-T-MACH-102194 CO2-neutral combustion engines and their fuels I Kubach, Koch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination, Duration: 25 min., no auxiliary means

Prerequisites none

Below you will find excerpts from events related to this course:

CO2-neutral combustion engines and their fuels I V Lecture / Practice (VÜ) 2133113, WS 21/22, 4 SWS, Language: German, Open in study portal On-Site

Content Introduction, Presentation of IFKM Working Principle Characteristic Parameters Engine Parts Drive Train Fuels Gasoline Engines Diesel Engines Hydrogen Engines Exhaust Gas Emissions

Organizational issues Übungstermine Donnerstags nach Bekanntgabe in der Vorlesung

Industrial Engineering and Management M.Sc. 262 Module Handbook as of 30/09/2021 7 COURSES Course: Cognitive Modeling [T-WIWI-111392]

T 7.66 Course: Cognitive Modeling [T-WIWI-111392]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Expansion Version Examination of another type 4,5 Grade to a third Each winter term 1 terms 1

Events WT 21/22 2540601 Cognitive Modeling 2 SWS Lecture Scheibehenne, Liu

Competence Certificate There will be 4 assignments during the course of the semester. Each will count 25% towards the final grade.

Prerequisites Calculus, probability theory

Annotation The goal of this course is to help students develop a basic understanding of computational models in the study of human cognition and behavior. In the first half of the semester, we will go over the following contents to prepare for the learning of cognitive modeling: basics of the R software, foundations of probability, and parameter estimation. In the second half, we will discuss the general ideas of modeling in behavioral science as well as some specific cognitive models. The class will take a biweekly lecture form. All lectures, materials, and assignments are in English. The number of participants is limited. The registration will take place via the Wiwi-Portal.

Industrial Engineering and Management M.Sc. 263 Module Handbook as of 30/09/2021 7 COURSES Course: Combustion Engines II [T-MACH-104609]

T 7.67 Course: Combustion Engines II [T-MACH-104609]

Responsible: Dr.-Ing. Rainer Koch Dr.-Ing. Heiko Kubach Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 5 Grade to a third Each summer term 1

Events ST 2021 2134151 CO2-neutral combustion 3 SWS Lecture / Practice ( / Koch engines and their fuels II 🧩 Exams ST 2021 76-T-MACH-104609 Combustion Engines, Hydrogen Engines and CO2 neutral Fuels II Koch, Kubach WT 21/22 76-T-MACH-104609 Combustion Engines, Hydrogen Engines and CO2 neutral Fuels II Kubach, Koch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination, duration: 25 minutes, no auxiliary means

Prerequisites none

Recommendation Fundamentals of Combustion Engines I helpful

Below you will find excerpts from events related to this course:

CO2-neutral combustion engines and their fuels II V Lecture / Practice (VÜ) 2134151, SS 2021, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 264 Module Handbook as of 30/09/2021 7 COURSES Course: Communication Systems and Protocols [T-ETIT-101938]

T 7.68 Course: Communication Systems and Protocols [T-ETIT-101938]

Responsible: Dr.-Ing. Jens Becker Prof. Dr.-Ing. Jürgen Becker Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-MACH-101295 - Optoelectronics and Optical Communication

Type Credits Grading scale Recurrence Version Written examination 5 Grade to a third Each summer term 1

Events

ST 2021 2311616 Communication Systems and 2 SWS Lecture / 🖥 Becker, Becker Protocols

ST 2021 2311618 Tutorial for 2311616 1 SWS Practice / 🖥 Nidhi Communication Systems and Protocols Exams ST 2021 7311616 Communication Systems and Protocols Becker, Becker

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites none

Industrial Engineering and Management M.Sc. 265 Module Handbook as of 30/09/2021 7 COURSES Course: Competition in Networks [T-WIWI-100005]

T 7.69 Course: Competition in Networks [T-WIWI-100005]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101406 - Network Economics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 3

Events WT 21/22 2561204 Competition in Networks 2 SWS Lecture Mitusch WT 21/22 2561205 Übung zu Wettbewerb in Netzen 1 SWS Practice Wisotzky, Mitusch, Corbo Exams ST 2021 7900274 Competition in Networks Mitusch

Competence Certificate Result of success is made by a 60 minutes written examination during the semester break (according to §4(2), 1 ERSC). Examination is offered every semester and can be retried at any regular examination date.

Prerequisites None.

Recommendation Basics of microeconomics obtained within the undergraduate programme (B.Sc) of economics are required.

Below you will find excerpts from events related to this course:

Competition in Networks V Lecture (V) 2561204, WS 21/22, 2 SWS, Language: German, Open in study portal

Content Network or infrastructure industries like telecommunication, transport, and utilities form the backbone of modern economies. The lecture provides an overview of the economic characteristics of network industries. The planning of networks is complicated by the multitude of aspects involved (like spatial differentiation and the like). The interactions of different companies - competition or cooperation or both - are characterized by complex interdependencies within the networks: network effects, economies of scale, effects of vertical integration, switching costs, standardization, compatibility etc. appear increasingly in these sectors and even tend to appear in combination. Additionally, government interventions can often be observed, partly driven by the aims of competition policy and partly driven by the aims industrial policy. All these issues are brought up, analyzed formally (in part) and illustrated by several examples in the lecture

Literature Literatur und Skripte werden in der Veranstaltung angegeben.

Industrial Engineering and Management M.Sc. 266 Module Handbook as of 30/09/2021 7 COURSES Course: Computational Economics [T-WIWI-102680]

T 7.70 Course: Computational Economics [T-WIWI-102680]

Responsible: PD Dr. Pradyumn Kumar Shukla Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 3

Events WT 21/22 2590458 Computational Economics 2 SWS Lecture Shukla WT 21/22 2590459 Excercises to Computational 1 SWS Practice Shukla Economics Exams ST 2021 7900030 Computational Economics (Registration until 12 July 2021) Shukla WT 21/22 7900005 Computational Economics Shukla

Competence Certificate The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulation). By successful completion of the exercises (§4 (2), 3 SPO 2007 respectively §4 (3) SPO 2015) a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4). The bonus only applies to the first and second exam of the semester in which it was obtained.

Prerequisites None

Annotation The credits have been changed to 5 starting summer term 2016.

Below you will find excerpts from events related to this course:

Computational Economics V Lecture (V) 2590458, WS 21/22, 2 SWS, Language: English, Open in study portal

Content Examining complex economic problems with classic analytical methods usually requires making numerous simplifying assumptions, for example that agents behave rationally or homogeneously. Recently, widespread availability of computing power gave rise to a new field in economic research that allows the modeling of heterogeneity and forms of bounded rationality: Computational Economics. Within this new discipline, computer based simulation models are used for analyzing complex economic systems. In short, an artificial world is created which captures all relevant aspects of the problem under consideration. Given all exogenous and endogenous factors, the modelled economy evolves over time and different scenarios can be analyzed. Thus, the model can serve as a virtual testbed for hypothesis verification and falsification. Learning objectives: The student

• understands the methods of Computational Economics and applies them on practical issues, • evaluates agent models considering bounded rational behaviour and learning algorithms, • analyses agent models based on mathematical basics, • knows the benefits and disadvantages of the different models and how to use them, • examines and argues the results of a simulation with adequate statistical methods, • is able to support the chosen solutions with arguments and can explain them.

Industrial Engineering and Management M.Sc. 267 Module Handbook as of 30/09/2021 7 COURSES Course: Computational Economics [T-WIWI-102680]

Literature

• R. Axelrod: "Advancing the art of simulation in social sciences". R. Conte u.a., Simulating Social Phenomena, Springer, S. 21-40, 1997. • R. Axtel: "Why agents? On the varied motivations for agent computing in the social sciences". CSED Working Paper No. 17, The Brookings Institution, 2000. • K. Judd: "Numerical Methods in Economics". MIT Press, 1998, Kapitel 6-7. • A. M. Law and W. D. Kelton: "Simulation Modeling and Analysis", McGraw-Hill, 2000. • R. Sargent: "Simulation model verification and validation". Winter Simulation Conference, 1991. • L. Tesfation: "Notes on Learning", Technical Report, 2004. • L. Tesfatsion: "Agent-based computational economics". ISU Technical Report, 2003.

Weiterführende Literatur:

• Amman, H., Kendrick, D., Rust, J.: "Handbook of Computational Economics". Volume 1, Elsevier North-Holland, 1996. • Tesfatsion, L., Judd, K.L.: "Handbook of Computational Economics". Volume 2: Agent-Based Computational Economics, Elsevier North-Holland, 2006. • Marimon, R., Scott, A.: "Computational Methods for the Study of Dynamic Economies". Oxford University Press, 1999. • Gilbert, N., Troitzsch, K.: "Simulation for the Social Scientist". Open University Press, 1999.

Industrial Engineering and Management M.Sc. 268 Module Handbook as of 30/09/2021 7 COURSES Course: Computer Aided Data Analysis [T-GEISTSOZ-104565]

T 7.71 Course: Computer Aided Data Analysis [T-GEISTSOZ-104565]

Responsible: Prof. Dr. Gerd Nollmann Organisation: KIT Department of Humanities and Social Sciences Part of: M-GEISTSOZ-101169 - Sociology

Type Credits Grading scale Version Completed coursework 0 pass/fail 1

Events

WT 21/22 5011009 Decomposition and regression 2 SWS Course ( / 🖥 Nollmann analysis Exams ST 2021 7400369 Computer Aided Data Analysis Nollmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 269 Module Handbook as of 30/09/2021 7 COURSES Course: Computer Contract Law [T-INFO-102036]

T 7.72 Course: Computer Contract Law [T-INFO-102036]

Responsible: Michael Bartsch Organisation: KIT Department of Informatics Part of: M-INFO-101216 - Private Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events

WT 21/22 2411604 Computer Contract Law 2 SWS Lecture / 🗣 Menk Exams ST 2021 7500066 Computer Contract Law Dreier, Matz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Below you will find excerpts from events related to this course:

Computer Contract Law V Lecture (V) 2411604, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content The course deals with contracts from the following areas:

• Contracts of programming, licencing and maintaining software • Contracts in the field of IT employment law • IT projects and IT Outsourcing • Internet Contracts

From these areas single contracts will be chosen and discussed (e.g. software maintenance, employment contract with a software engineer). Concerning the respective contract the technical features, the economic background and the subsumption in the national law of obligation (BGB-Schuldrecht) will be discussed. As a result different contractual clauses will be developed by the students. Afterwards typical contracts and conditions will be analysed with regard to their legitimacy as standard business terms (AGB). It is the aim to show the effects of the german law of standard business terms (AGB-Recht) and to point out that contracts are a means of drafting business concepts and market appearance. It is the aim of this course to provide students with knowledge in the area of contract formation and formulation in practice that builds upon the knowledge the students have already acquired concerning the legal protection of computer programs. Students shall understand how the legal rules depend upon, and interact with, the economic background and the technical features of the subject. The contract drafts shall be prepared by the students and will be corporately completed during the lecture. It is the aim of the course that students will be able to formulate contracts by themselves.

Literature

• Langenfeld, Gerrit Vertragsgestaltung Verlag C.H.Beck, III. Aufl. 2004 • Heussen, Benno Handbuch Vertragsverhandlung und Vertragsmanagement Verlag C.H.Beck, II. Aufl. 2002 • Schneider, Jochen Handbuch des EDV-Rechts Verlag Dr. Otto Schmidt KG, III. Aufl. 2002

Weiterführende Literatur Ergänzende Literatur wird in den Vorlesungsfolien angegeben.

Industrial Engineering and Management M.Sc. 270 Module Handbook as of 30/09/2021 7 COURSES Course: Constitution and Properties of Protective Coatings [T-MACH-105150]

T 7.73 Course: Constitution and Properties of Protective Coatings [T-MACH-105150]

Responsible: apl. Prof. Dr. Sven Ulrich Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events

WT 21/22 2177601 Constitution and Properties of 2 SWS Lecture / 🗣 Ulrich Protective Coatings Exams ST 2021 76-T-MACH-105150 Constitution and Properties of Protective Coatings Ulrich

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination (about 30 min) no tools or reference materials

Prerequisites none

Below you will find excerpts from events related to this course:

Constitution and Properties of Protective Coatings V Lecture (V) 2177601, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content oral examination (about 30 min); no tools or reference materials Teaching Content: introduction and overview concepts of surface modification coating concepts coating materials methods of surface modification coating methods characterization methods state of the art of industrial coating of tools and components new developments of coating technology regular attendance: 22 hours self-study: 98 hours Transfer of the basic knowledge of surface engineering, of the relations between constitution, properties and performance, of the manifold methods of modification, coating and characterization of surfaces. Recommendations: none

Industrial Engineering and Management M.Sc. 271 Module Handbook as of 30/09/2021 7 COURSES Course: Constitution and Properties of Protective Coatings [T-MACH-105150]

Organizational issues Falls die Vorlesung online stattfinden muss, bitte um Anmeldung unter [email protected] bis zum 10.10.21. Den entsprechenden MS Teams Link erhalten Sie dann per E-Mail am 11.10.21.

Literature Bach, F.-W.: Modern Surface Technology, Wiley-VCH, Weinheim, 2006

Abbildungen und Tabellen werden verteilt; Copies with figures and tables will be distributed

Industrial Engineering and Management M.Sc. 272 Module Handbook as of 30/09/2021 7 COURSES Course: Constitution and Properties of Wearresistant Materials [T-MACH-102141]

T 7.74 Course: Constitution and Properties of Wearresistant Materials [T- MACH-102141]

Responsible: apl. Prof. Dr. Sven Ulrich Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 3

Events

ST 2021 2194643 Constitution and Properties of 2 SWS Lecture / 🖥 Ulrich Wear resistant materials Exams ST 2021 76-T-MACH-102141 Constitution and Properties of Wearresistant Materials Ulrich

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination (about 30 min) no tools or reference materials

Prerequisites none

Below you will find excerpts from events related to this course:

Constitution and Properties of Wear resistant materials V Lecture (V) 2194643, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 273 Module Handbook as of 30/09/2021 7 COURSES Course: Constitution and Properties of Wearresistant Materials [T-MACH-102141]

Content The assessment consists of an oral exam (ca. 30 min) taking place at the agreed date (according to Section 4(2), 2 of the examination regulation). The re-examination is offered upon agreement. Teaching Content: introduction materials and wear unalloyed and alloyed tool steels high speed steels stellites and hard alloys hard materials hard metals ceramic tool materials superhard materials new developments regular attendance: 22 hours self-study: 98 hours Basic understanding of constitution of wear-resistant materials, of the relations between constitution, properties and performance, of principles of increasing of hardness and toughness of materials as well as of the characteristics of the various groups of wear-resistant materials. Recommendations: none

Organizational issues Aufgrund der aktuellen Situation findet die Blockveranstaltung online in folgendem Zeitraum statt: 06.04.-08.04.2021: jeweils von 8:00-16:00 Uhr; Ort: online per MS-Teams Anmeldung verbindlich bis zum 02.04.2021 unter [email protected]. Nach der Anmeldung wird Ihnen der Link zur Vorlesung per E-Mail am 05.04.2021 mitgeteilt.

Literature Laska, R. Felsch, C.: Werkstoffkunde für Ingenieure, Vieweg Verlag, Braunschweig, 1981

Schedler, W.: Hartmetall für den Praktiker, VDI-Verlage, Düsseldorf, 1988

Schneider, J.: Schneidkeramik, Verlag moderne Industrie, Landsberg am Lech, 1995

Kopien der Abbildungen und Tabellen werden verteilt; Copies with figures and tables will be distributed

Industrial Engineering and Management M.Sc. 274 Module Handbook as of 30/09/2021 7 COURSES Course: Construction Equipment [T-BGU-101845]

T 7.75 Course: Construction Equipment [T-BGU-101845]

Responsible: Prof. Dr.-Ing. Sascha Gentes Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 6243701 Maschinentechnik 2 SWS Lecture / 🧩 Gentes, Dörfler Exams ST 2021 8240101845 Construction Equipment Gentes

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 275 Module Handbook as of 30/09/2021 7 COURSES Course: Control of Linear Multivariable Systems [T-ETIT-100666]

T 7.76 Course: Control of Linear Multivariable Systems [T-ETIT-100666]

Responsible: Dr.-Ing. Mathias Kluwe Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101157 - Control Engineering II

Type Credits Grading scale Recurrence Version Written examination 6 Grade to a third Each winter term 1

Events WT 21/22 2303177 Control of Linear Multivariable 3 SWS Lecture Kluwe Systems WT 21/22 2303179 Control of Linear Multivariable 1 SWS Practice Jané Soneira Systems (Tutorial to 2303177) Exams ST 2021 7303177 Control of Linear Multivariable Systems Kluwe

Competence Certificate Success is checked as part of a written overall test (120 minutes) of the course.

Prerequisites none

Recommendation For a deeper understanding, basic knowledge of system dynamics and control technology is absolutely necessary, as taught in the ETIT Bachelor module "System Dynamics and Control Technology" M-ETIT-102181.

Industrial Engineering and Management M.Sc. 276 Module Handbook as of 30/09/2021 7 COURSES Course: Control Technology [T-MACH-105185]

T 7.77 Course: Control Technology [T-MACH-105185]

Responsible: Hon.-Prof. Dr. Christoph Gönnheimer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 2

Events

ST 2021 2150683 Control Technology 2 SWS Lecture / 🖥 Gönnheimer Exams ST 2021 76-T-MACH-105185 Control Technology Gönnheimer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (60 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Control Technology V Lecture (V) 2150683, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 277 Module Handbook as of 30/09/2021 7 COURSES Course: Control Technology [T-MACH-105185]

Content The lecture control technology gives an integral overview of available control components within the field of industrial production systems. The first part of the lecture deals with the fundamentals of signal processing and with control peripherals in the form of sensors and actors which are used in production systems for the detection and manipulation of process states. The second part handles with the function of electric control systems in the production environment. The main focus in this chapter is laid on programmable logic controls, computerized numerical controls and robot controls. Finally the course ends with the topic of cross-linking and decentralization with the help of bus systems. The lecture is very practice-oriented and illustrated with numerous examples from different branches. The following topics will be covered:

• Signal processing • Control peripherals • Programmable logic controls • Numerical controls • Controls for industrial robots • Distributed control systems • Field bus • Trends in the area of control technology

Learning Outcomes: The students …

• are able to name the electrical controls which occur in the industrial environment and explain their function. • can explain fundamental methods of signal processing. This involves in particular several coding methods, error protection methods and analog to digital conversion. • are able to choose and to dimension control components, including sensors and actors, for an industrial application, particularly in the field of plant engineering and machine tools. Thereby, they can consider both, technical and economical issues. • can describe the approach for projecting and writing software programs for a programmable logic control named Simatic S7 from Siemens. Thereby they can name several programming languages of the IEC 1131.

Workload: regular attendance: 21 hours self-study: 99 hours

Literature Medien: Skript zur Veranstaltung wird über ilias (https://ilias.studium.kit.edu/) bereitgestellt.

Media: Lecture notes will be provided in ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 278 Module Handbook as of 30/09/2021 7 COURSES Course: Convex Analysis [T-WIWI-102856]

T 7.78 Course: Convex Analysis [T-WIWI-102856]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Events

ST 2021 2550120 Konvexe Analysis 2 SWS Lecture / 🖥 Stein Exams ST 2021 7900273_SS2021_HK Convex Analysis Stein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of the lecture is a written examination (60 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester.

Prerequisites None

Recommendation It is strongly recommended to visit at least one lecture from the Bachelor program of this chair before attending this course.

Annotation The lecture is offered irregularly. The curriculum of the next three years is available online (www.ior.kit.edu).

Below you will find excerpts from events related to this course:

Konvexe Analysis V Lecture (V) 2550120, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Convex Analysis deals with properties of convex functions and convex sets, amongst others with respect to the minimization of convex functions over convex sets. That the involved functions are not necessarily assumed to be differentiable allows a number a applications which are not covered by techniques from smooth optimization, e.g. approximation problems with respect to the Manhattan or maximum norms, classification problems or the theory of statistical estimates. The lecture develops along another, geometrically intuitive example, where a nonsmooth obstacle set is to be described by a single smooth convex constraint such that minimal and maximal distances to the obstacle can be computed. The lecture is structured as follows:

• Introduction to entropic smoothing and convexity • Global error bounds • Smoothness properties of convex functions • The convex subdifferential • Global Lipschitz continuity • Descent directions and stationarity conditions

Remark: Prior to the attendance of this lecture, it is strongly recommend to acquire basic knowledge on optimization problems in one of the lectures "Global Optimization I and II" and "Nonlinear Optimization I and II". Learning objectives: The student

• knows and understands the fundamentals of convex analysis, • is able to choose, design and apply modern techniques of convex analysis in practice.

Industrial Engineering and Management M.Sc. 279 Module Handbook as of 30/09/2021 7 COURSES Course: Convex Analysis [T-WIWI-102856]

Literature

• J. Borwein, A. Lewis, Convex Analysis and Nonlinear Optimization: Theory and Examples (2 ed.), Springer, 2006 • S. Boyd, L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004 • O. Güler, Foundations of Optimization, Springer, 2010 • J.-B. Hiriart-Urruty, C. Lemarechal, Fundamentals of Convex Analysis, Springer, 2001 • B. Mordukhovich, N.M. Nam, An Easy Path to Convex Analysis and Applications, Morgan & Clay- pool Publishers, 2014 • R.T. Rockafellar, Convex Analysis, Princeton University Press, 1970 • R.T. Rockafellar, R.J.B. Wets, Variational Analysis, Springer, Berlin, 1998

Industrial Engineering and Management M.Sc. 280 Module Handbook as of 30/09/2021 7 COURSES Course: Conveying Technology and Logistics [T-MACH-102135]

T 7.79 Course: Conveying Technology and Logistics [T-MACH-102135]

Responsible: Prof. Dr.-Ing. Kai Furmans Paolo Pagani Organisation: KIT Department of Mechanical Engineering

Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events ST 2021 2119100 Fördertechnik und Seminar / 🧩 Furmans, Pagani Logistiksysteme WT 21/22 2119100 Fördertechnik und Seminar / 🧩 Furmans, Pagani Logistiksysteme Exams ST 2021 76-T-MACH-102135 Conveying Technology and Logistics Furmans WT 21/22 76-T-MACH-102135 Conveying Technology and Logistics Furmans

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate alternative test achievement (graded):

• written elaboration (workload of at least 80 h) • oral presentation (approx. 30 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Fördertechnik und Logistiksysteme V Seminar (S) 2119100, SS 2021, SWS, Open in study portal Blended (On-Site/Online)

Content The goal of the seminar is to deal with different topics related to the materials handling and logistics. The students can work on the topic either alone or in a group work. At the end the results are presented and discussed with a final presentation. The prepare the work for the seminar an introductory event is scheduled at the beginning.

Organizational issues Ort: Gebäude 50.38, Raum 0.22, Termine siehe homepage

Industrial Engineering and Management M.Sc. 281 Module Handbook as of 30/09/2021 7 COURSES Course: Copyright [T-INFO-101308]

T 7.80 Course: Copyright [T-INFO-101308]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: M-INFO-101215 - Intellectual Property Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events

WT 21/22 24121 Copyright 2 SWS Lecture / 🖥 Dreier Exams ST 2021 7500064 Copyright Dreier, Matz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 282 Module Handbook as of 30/09/2021 7 COURSES Course: Corporate Compliance [T-INFO-101288]

T 7.81 Course: Corporate Compliance [T-INFO-101288]

Responsible: Andreas Herzig Organisation: KIT Department of Informatics Part of: M-INFO-101216 - Private Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events

WT 21/22 2400087 Corporate Compliance 2 SWS Lecture / 🗣 Herzig Exams ST 2021 7500063 Corporate Compliance Dreier, Matz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 283 Module Handbook as of 30/09/2021 7 COURSES Course: Corporate Financial Policy [T-WIWI-102622]

T 7.82 Course: Corporate Financial Policy [T-WIWI-102622]

Responsible: Prof. Dr. Martin Ruckes Organisation: KIT Department of Economics and Management Part of: M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2 M-WIWI-101502 - Economic Theory and its Application in Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2530214 Corporate Financial Policy 2 SWS Lecture / 🖥 Ruckes ST 2021 2530215 Übungen zu Corporate Financial 1 SWS Practice / 🖥 Ruckes, Hoang Policy Exams ST 2021 7900073 Corporate Financial Policy Ruckes WT 21/22 7900058 Corporate Financial Policy Ruckes

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is a written examination (following §4(2), 1 SPO) of 60 mins. The exam is offered each semester.

Prerequisites None

Below you will find excerpts from events related to this course:

Corporate Financial Policy V Lecture (V) 2530214, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The course develops the foundations for the management and financing of firms in imperfect markets. The course covers the following topics:

• Measures of good corporate governance • Corporate finance • Liquidity management • Executive compensation and incentives • Corporate takeovers

Learning outcomes: The students

• are able to explain the importance of information asymmetry for the contract design of firms, • are capable to evaluate measures for the reduction of information asymmetry, • are in the position to analyze contracts with regard to their incentive and communication effects.

Industrial Engineering and Management M.Sc. 284 Module Handbook as of 30/09/2021 7 COURSES Course: Corporate Risk Management [T-WIWI-109050]

T 7.83 Course: Corporate Risk Management [T-WIWI-109050]

Responsible: Prof. Dr. Martin Ruckes Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2 M-WIWI-101502 - Economic Theory and its Application in Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Exams ST 2021 7900259 Corporate Risk Management Ruckes WT 21/22 7900136 Corporate Risk Management Ruckes

Competence Certificate The assessment consists of a written exam (60 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulation. The exam is offered each semester. If there are only a small number of participants registered for the exam, we reserve the right to hold an oral examination instead of a written one.

Prerequisites None

Recommendation None

Annotation The course will be held again in the summer term 2023 at the earliest. Please pay attention to the announcements on our website.

Industrial Engineering and Management M.Sc. 285 Module Handbook as of 30/09/2021 7 COURSES Course: Credit Risk [T-WIWI-102645]

T 7.84 Course: Credit Risk [T-WIWI-102645]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 1

Competence Certificate The examination is offered for first-time writers for the last time in the winter semester 2020/21 and (only) for repeaters in the summer semester 2021. The assessment consists of a written exam (75 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulation. The examination is offered every semester and can be repeated at every regular examination date. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by up to one grade level (0.3 or 0.4). Details will be announced in the lecture.

Prerequisites None

Recommendation Knowledge from the course "Derivatives" is very helpful.

Annotation The course will no longer be offered from winter semester 2020/21.

Industrial Engineering and Management M.Sc. 286 Module Handbook as of 30/09/2021 7 COURSES Course: Critical Information Infrastructures [T-WIWI-109248]

T 7.85 Course: Critical Information Infrastructures [T-WIWI-109248]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 4

Events WT 21/22 2511400 Critical Information Infrastructures 2 SWS Lecture Sunyaev, Dehling, Lins WT 21/22 2511401 Exercises to Critical Information 1 SWS Practice Sunyaev, Dehling, Lins Infrastructures Exams ST 2021 7900061 Critical Information Infrastructures Sunyaev WT 21/22 7900067 Critical Information Infrastructures Sunyaev

Competence Certificate The alternative exam assessment consists of

• the preparation of a written elaboration as well as • an oral examination as part of a presentation of the work.

Details of the grades will be announced at the beginning of the course. The examination is only offered to first-time students in the winter semester, but can be repeated in the following summer semester.

Prerequisites None.

Annotation New lecture from winter semester 2018/2019.

Below you will find excerpts from events related to this course:

Critical Information Infrastructures V Lecture (V) 2511400, WS 21/22, 2 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 287 Module Handbook as of 30/09/2021 7 COURSES Course: Critical Information Infrastructures [T-WIWI-109248]

Content The course critical information infrastructures (CII) introduces students to the world of complex sociotechnical systems that permeate societies on a global scale. Students will learn to handle the complexities involved in the design, development, operation, and evaluation of critical information infrastructures. In the beginning of the course, critical information infrastructures will be introduced on a general level. The following sessions will focus on an in-depth exploration of selected cases that represent current challenges in research and practice. Students will work (in a group of 4) on a selected topic and have to write a course paper. Students can choose a topic from a variety of topics. To answer the research questions, students can use literature reviews but also interviews, surveys, programming tasks, and other research methods.

There will be a short introduction to the topics for the course paper in the following topic areas. In addition, it will be possible to propose your own topics as a group in the topic areas:

• Distributed Ledger Technology • Critical Cloud Services • Health Information Infrastructures • Vehicluar Fog Computing • Information Privacy • Trustworthy Artificial Intelligence

Since we offer topics in this course that also correspond to the research interests in our research group, there may be the opportunity to work on the topics in more depth in the course of a final thesis. Learning objectives: Students know concepts and technologies relevant for the design and reliable operation of critical information infrastructures and can leverage them to develop solutions for real-world challenges. Notes: The number of participants is limited to 24 students. Please register via the WiWi portal: https://portal.wiwi.kit.edu/ys/5035 The registration will be opened from August 17, 2021 until October 1, 2021. Please make sure that you are available at the following dates if you want to take the course:

• 21.10.2021, Noon–01:30 pm: 1. Introduction & Topic Area Presentations • 28.10.2021, Noon–01:30 pm: 2. Foundations to Critical Information Infrastructures • 04.11.2021, Noon–01:30 pm: 3. Critical Information Infrastructure Landscape • 11.11.2021, Noon–01:30 pm: 4. Research on Information Systems & Group Assignment • 10.12.2021, 10:00 am–06:00 pm: Interim Presentation (estimated) • 28.01.2022, 10:00 am–06:00 pm: Final Presentation (estimated)

Further information on the course structure will be announced in the first session. Depending on the number of participants the individual sessions can have a shorter duration. The meetings will take place online via MS Teams, as currently planned. We will provide a link to join the team if your registration was approved. Interim and final presentation may take a hybrid or real-life form. If you have any questions regarding course registration, please contact [email protected] or [email protected]

Industrial Engineering and Management M.Sc. 288 Module Handbook as of 30/09/2021 7 COURSES Course: Current Directions in Consumer Psychology [T-WIWI-111100]

T 7.86 Course: Current Directions in Consumer Psychology [T-WIWI-111100]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Expansion Version Examination of another type 3 Grade to a third Each term 1 terms 1

Events

ST 2021 2540441 Current Directions in Consumer 2 SWS Others (sons / 🖥 Scheibehenne, Liu Psychology WT 21/22 2540441 Current Directions in Consumer 2 SWS Others (sons / 🧩 Scheibehenne Psychology Exams ST 2021 7900363 Current Directions in Consumer Psychology Scheibehenne

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment. Grading will be based on a continuous basis throughout the semester.

Annotation This class covers current research topics at the intersection between Psychology, Consumer Behavior, and Behavioral Economics. Based on weekly reading assignments of current scientific journal publications, students will get a first-hand experience of the ongoing topics and discussions at this exciting and dynamic area of research. The reading list will be announced at the first day of class and will be updated throughout the semester. Grades will be based on weekly participation throughout the semester including short oral presentation of papers in class, active engagement in discussions, and homework assignments. Due to the highly interactive format of this class the number of participants is limited.

Below you will find excerpts from events related to this course:

Current Directions in Consumer Psychology V Others (sonst.) 2540441, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content This class covers current research topics at the intersection between Psychology, Consumer Behavior, and Behavioral Economics. Based on weekly reading assignments of current scientific journal publications, students will get a first-hand experience of the ongoing topics and discussions at this exciting and dynamic area of research. The reading list will be announced at the first day of class. Grades will be based on continuous participation throughout the semester including short oral presentation of papers in class, active engagement in discussions and homework assignments. This class will be taught in English.

Current Directions in Consumer Psychology V Others (sonst.) 2540441, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Content This class covers current research topics at the intersection between Psychology, Consumer Behavior, and Behavioral Economics. Based on weekly reading assignments of current scientific journal publications, students will get a first-hand experience of the ongoing topics and discussions at this exciting and dynamic area of research. The reading list will be announced at the first day of class. Grades will be based on continuous participation throughout the semester including short oral presentation of papers in class, active engagement in discussions and homework assignments. This class will be taught in English.

Industrial Engineering and Management M.Sc. 289 Module Handbook as of 30/09/2021 7 COURSES Course: Current Issues in Innovation Management [T-WIWI-102873]

T 7.87 Course: Current Issues in Innovation Management [T-WIWI-102873]

Responsible: Prof. Dr. Marion Weissenberger-Eibl Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate Non exam assessment (following §4(2) 3 of the examination regulation).

Prerequisites None

Recommendation None

Annotation Please note that the seminars we offer vary from semester to semester. Information about the currently offered seminars can be found in the Wiwi-Portal and on the iTM Website.

Industrial Engineering and Management M.Sc. 290 Module Handbook as of 30/09/2021 7 COURSES Course: Current Topics on BioMEMS [T-MACH-102176]

T 7.88 Course: Current Topics on BioMEMS [T-MACH-102176]

Responsible: apl. Prof. Dr. Andreas Guber Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101290 - BioMEMS

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 2

Events ST 2021 2143873 Actual topics of BioMEMS 2 SWS Seminar / 🧩 Guber WT 21/22 2143873 Actual topics of BioMEMS 2 SWS Seminar / 🧩 Guber, Ahrens Exams ST 2021 76-T-MACH-102176 Current Topics on BioMEMS Guber WT 21/22 76-T-MACH-102176 Current Topics on BioMEMS Guber

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate active participation and own presentation (30 Min.)

Prerequisites none

Below you will find excerpts from events related to this course:

Actual topics of BioMEMS V Seminar (S) 2143873, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• Short introduction to the basics of BioMEMS • Selected aspects of biomedical engineering and life sciences • Possible micro technical manufacturing processes • Selected application examples from research and industry

The seminar includes (bio)medical engineering as well as biological and biotechnological topics in the context of engineering sciences

• Use of microtechnical components and systems in innovative medical products • Use of microfluidic chip systems in applied biology and biotechnology

Organizational issues Siehe Aushang

Actual topics of BioMEMS V Seminar (S) 2143873, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Organizational issues Wird bekannt gegeben

Industrial Engineering and Management M.Sc. 291 Module Handbook as of 30/09/2021 7 COURSES Course: Data Protection Law [T-INFO-111406]

T 7.89 Course: Data Protection Law [T-INFO-111406]

Responsible: Dr. Johannes Eichenhofer Organisation: KIT Department of Informatics Part of: M-INFO-101217 - Public Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events

WT 21/22 2400238 Bereichsdatenschutz 2 SWS Lecture / 🖥 Boehm Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 292 Module Handbook as of 30/09/2021 7 COURSES Course: Database Systems and XML [T-WIWI-102661]

T 7.90 Course: Database Systems and XML [T-WIWI-102661]

Responsible: Prof. Dr. Andreas Oberweis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 2

Events WT 21/22 2511202 Database Systems and XML 2 SWS Lecture Oberweis WT 21/22 2511203 Exercises Database Systems and 1 SWS Practice Oberweis, Fritsch XML Exams ST 2021 7900046 Database Systems and XML (Registration until 12 July 2021) Oberweis WT 21/22 7900007 Database Systems and XML Oberweis

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Below you will find excerpts from events related to this course:

Database Systems and XML V Lecture (V) 2511202, WS 21/22, 2 SWS, Language: German, Open in study portal

Content Databases are a proven technology for managing large amounts of data. The oldest database model, the hierarchical model, was replaced by different models such as the relational or the object-oriented data model. The hierarchical model became particularly more important with the emergence of the extensible Markup Language XML. XML is a data format for structured, semi- structured, and unstructured data. In order to store XML documents consistently and reliably, databases or extensions of existing data base systems are required. Among other things, this lecture covers the data model of XML, concepts of XML query languages, aspects of storage of XML documents, and XML-oriented database systems. Learning objectives: Students

• know the basics of XML and generate XML documents, • are able to use XML database systems and to formulate queries to XML documents, • know to assess the use of XML in operational practice in different application contexts.

Workload:

• Lecture 30h • Exercise 15h • Preparation of lecture 24h • Preparation of exercises 25h • Exam preparation 40h • Exam 1h

Industrial Engineering and Management M.Sc. 293 Module Handbook as of 30/09/2021 7 COURSES Course: Database Systems and XML [T-WIWI-102661]

Literature

• M. Klettke, H. Meyer: XML & Datenbanken: Konzepte, Sprachen und Systeme. dpunkt.verlag 2003 • H. Schöning: XML und Datenbanken: Konzepte und Systeme. Carl Hanser Verlag 2003 • W. Kazakos, A. Schmidt, P. Tomchyk: Datenbanken und XML. Springer-Verlag 2002 • R. Elmasri, S. B. Navathe: Grundlagen der Datenbanksysteme. 2009 • G. Vossen: Datenbankmodelle, Datenbanksprachen und Datenbankmanagementsysteme. Oldenbourg 2008

Weitere Literatur wird in der Vorlesung bekannt gegeben.

Industrial Engineering and Management M.Sc. 294 Module Handbook as of 30/09/2021 7 COURSES Course: Decentrally Controlled Intralogistic Systems [T-MACH-105230]

T 7.91 Course: Decentrally Controlled Intralogistic Systems [T-MACH-105230]

Responsible: Prof. Dr.-Ing. Kai Furmans Dr.-Ing. Maximilian Hochstein Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Completed coursework 4 pass/fail Each term 3

Events

ST 2021 2117084 Decentrally controlled 2 SWS Practical course / 🖥 Furmans, Sperling, Ries intralogistic systems

WT 21/22 2117084 Decentrally controlled 2 SWS Practical course / 🗣 Furmans, Sperling, Ries intralogistic systems Exams ST 2021 76-T-MACH-105230 Decentrally Controlled Intralogistic Systems Furmans

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Certificate by colloquium with presentation

Prerequisites None

Below you will find excerpts from events related to this course:

Decentrally controlled intralogistic systems V Practical course (P) 2117084, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 295 Module Handbook as of 30/09/2021 7 COURSES Course: Decentrally Controlled Intralogistic Systems [T-MACH-105230]

Content Requirements: Duty of attendance Recommendations: - Media: Lego Mindstorms, PC Teaching content:

• ntroduction to intralogistic systems • Development of a model of a decentralized logistics systemobject-oriented programming of the control with LabView • Implementation of the model in Mindstorms • Presentation of work results

Note: Limited number of participants (max. 15 students per group, under CORONA-conditions max. 8 students per group) Selection is made according to a selection procedure A passage in English language can be offered if required Workload: attendance time: 90 hours (workstation is provided) Self-study: 30 hours Educational goal: The students can:

• name and explain the basics of intralogistic conveyor systems • describe and explain communication types between decentralized systems • apply the basics of project management in subsequent projects • dealing with the graphical based software development environment LabView • developing constructive solutions for mechanical problems • applying the theory learned to a practical problem • evaluate solutions developed through group discussions and presentations • examination:

Examination: Certificate by colloquium with lecture, documentation of work results and by fulfilling the attendance obligation

Organizational issues Termine im SS21: Gruppe 1 (Maximilian Ries) 23.08.2021 - 03.09.2021 Gruppe 2 (Marvin Sperling) 06.09.2021 - 17.09.2021 *Corona-bedingte Änderungen vorbehalten*

Literature keine

Decentrally controlled intralogistic systems V Practical course (P) 2117084, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 296 Module Handbook as of 30/09/2021 7 COURSES Course: Decentrally Controlled Intralogistic Systems [T-MACH-105230]

Content Proof:

• Certificate by colloquium with presentation

Note:

• Number of participants limited • Participants will be selected • Compulsory attendance

Media:

• Lego Mindstorms, PC

Teaching content:

• Introduction to material handling systems • Construction of a model for decentralized logistic systems • Object-oriented programming with LabView (or Python* with reservation) • Implementation of the model with Mindstorms • Presentation of the results

Learning objectives: Students are able to:

• Model complex cinematic systems and use object-oriented programming for this purpose, • Built experimental setups in a team for decentralized controlled intralogistic systems, choose appropriate system components and models and finally proof the function by using experiments.

Effort:

• Regular attendance: 90 hours (workplace is provided) • Self-study: 30 hours

Dates and further information see homepage

Organizational issues Termine im WS21/22: Gruppe 1 (Maximilian Ries) 07.02.- 25.02.2022, davon Präsenz: 07.02., 14.02. - 25.02.2022 Gruppe 2 (Marvin Sperling) 21.02.- 11.03.2022, davon Präsenz: 21.02., 28.02. - 11.03.2022 Anmeldezeitraum: 01.11.2021 8:00 Uhr - 30.11.2021 18:00 Uhr (via Ilias-Kurs) *Corona-bedingte Änderungen vorbehalten*

Literature keine

Industrial Engineering and Management M.Sc. 297 Module Handbook as of 30/09/2021 7 COURSES Course: Demand-Driven Supply Chain Planning [T-WIWI-110971]

T 7.92 Course: Demand-Driven Supply Chain Planning [T-WIWI-110971]

Responsible: Josef Packowski Organisation: KIT Department of Economics and Management Part of: M-WIWI-102805 - Service Operations

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Exams WT 21/22 7900291 Demand-Driven Supply Chain Planning Packowski

Competence Certificate The assessment consists of a written exam.

Annotation Due to capacity restrictions, registration before course start is required. For further information see the webpage of the course. The course is planned to be held every winter term. The planned lectures and courses for the next three years are announced online.

Industrial Engineering and Management M.Sc. 298 Module Handbook as of 30/09/2021 7 COURSES Course: Derivatives [T-WIWI-102643]

T 7.93 Course: Derivatives [T-WIWI-102643]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101482 - Finance 1 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2530550 Derivatives 2 SWS Lecture / 🖥 Uhrig-Homburg ST 2021 2530551 Übung zu Derivate 1 SWS Practice / 🖥 Uhrig-Homburg, Eska Exams ST 2021 7900111 Derivatives Uhrig-Homburg WT 21/22 7900051 Derivatives Uhrig-Homburg

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 60-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Derivatives V Lecture (V) 2530550, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues Veranstaltungskonzept umfasst vollständige Aufzeichnungen von Vorlesung und Übung. Ergänzend bieten wir zweiwöchig freiwillige Live-Fragerunden zum fachlichen und organisatorischen Austausch an.

Literature

• Hull (2012): Options, Futures, & Other Derivatives, Prentice Hall, 8th Edition

Weiterführende Literatur: Cox/Rubinstein (1985): Option Markets, Prentice Hall

Industrial Engineering and Management M.Sc. 299 Module Handbook as of 30/09/2021 7 COURSES Course: Design Basics in Highway Engineering [T-BGU-106613]

T 7.94 Course: Design Basics in Highway Engineering [T-BGU-106613]

Responsible: Prof. Dr.-Ing. Ralf Roos Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-100998 - Design, Construction, Operation and Maintenance of Highways

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 6200408 Design Basics in Highway 2 SWS Lecture / 🖥 Roos, Zimmermann Engineering

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 300 Module Handbook as of 30/09/2021 7 COURSES Course: Design Thinking [T-WIWI-102866]

T 7.95 Course: Design Thinking [T-WIWI-102866]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2545008 Design Thinking (Track 1) 2 SWS Seminar / 🖥 González, Abraham, Csernalabics, Manthey

WT 21/22 2545008 Design Thinking (Track 1) 2 SWS Seminar / 🖥 Abraham, Csernalabics Exams ST 2021 7900053 Design Thinking (Track 1) Terzidis WT 21/22 7900084 Design Thinking (Track 1) Terzidis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessments (§4(2), 3 SPO).

Prerequisites None

Recommendation None

Annotation The seminar content will be published on the website of the institute.

Below you will find excerpts from events related to this course:

Design Thinking (Track 1) V Seminar (S) 2545008, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content Course Content: Design Thinking is a user-centric innovation management method. The iterative process first analyzes the problem space and builds a sound understanding of the future users. Subsequently, ideas for the solution are generated, prototypes are created and tested by the user group. The result is a proven and validated product.

During the seminar, the students learn basic procedures for achieving user-centric innovations. These are concrete methods that start with the potential user of certain products and services. The method is problem-oriented and emphasizes the specific customer situation. After attending the seminar, the students have a clear understanding of the need to explore end-user needs and are able to independently apply the methods of Design Thinking for developing market-driven innovations at a basic level. Credentials: Registration is via the Wiwi portal. ATTENTION: Creditability in the seminar module: The seminar is NOT credited in the seminar module! Crediting is only possible in the EXPERT MODULE ENTREPRENEURSHIP.

Industrial Engineering and Management M.Sc. 301 Module Handbook as of 30/09/2021 7 COURSES Course: Designing Interactive Systems [T-WIWI-110851]

T 7.96 Course: Designing Interactive Systems [T-WIWI-110851]

Responsible: Prof. Dr. Alexander Mädche Organisation: KIT Department of Economics and Management Part of: M-WIWI-104068 - Information Systems in Organizations M-WIWI-104080 - Designing Interactive Information Systems

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540558 Designing Interactive Systems 3 SWS Lecture / 🖥 Mädche, Gnewuch Exams ST 2021 00009 Designing Interactive Systems Mädche WT 21/22 7900205 Designing Interactive Systems Mädche

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment. The assessment consists of a one-hour exam and the implementation of a Capstone project. Details will be announced at the beginning of the course.

Prerequisites None

Annotation This course replaces T-WIWI-108461 "Interactive Information Systems" starting summer term 2020. The course is held in english.

Below you will find excerpts from events related to this course:

Designing Interactive Systems V Lecture (V) 2540558, SS 2021, 3 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 302 Module Handbook as of 30/09/2021 7 COURSES Course: Designing Interactive Systems [T-WIWI-110851]

Content Description Computers have evolved from batch processors towards highly interactive systems. This offers new possibilities but also challenges for the successful design of the interaction between human and computer. Interactive system are socio-technical systems in which users perform tasks by interacting with technology in a specific context in order to achieve specified goals and outcomes.

The aim of this course is to introduce advanced concepts and theories, interaction technologies as well as current practice of contemporary interactive systems.

The course is complemented with a design capstone project, where students in a team select and apply design methods & techniques in order to create an interactive prototype

Learning objectives

• Get an advanced understanding of conceptual foundations of interactive systems from a human and computer perspective

• explore the theoretical grounding of Interactive Systems leveraging theories from reference disciplines such as psychology

• know specific design principles for the design of advanced interactive systems

• get hands-on experience in conceptualizing and designing advanced Interactive Systems to solve a real-world challenge from an industry partner by applying the lecture contents.

Prerequisites No specific prerequisites are required for the lecture

Literature Die Vorlesung basiert zu einem großen Teil auf · Benyon, D. (2014). Designing interactive systems: A comprehensive guide to HCI, UX and interaction design (3. ed.). Harlow: Pearson. Weiterführende Literatur wird in der Vorlesung bereitgestellt.

Industrial Engineering and Management M.Sc. 303 Module Handbook as of 30/09/2021 7 COURSES Course: Development of hybrid drivetrains [T-MACH-110817]

T 7.97 Course: Development of hybrid drivetrains [T-MACH-110817]

Responsible: Prof. Dr. Thomas Koch Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 1

Events ST 2021 2134155 Development of Hybrid 2 SWS Lecture / 🧩 Koch, Doppelbauer Powertrains

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 1 hour

Prerequisites None

Below you will find excerpts from events related to this course:

Development of Hybrid Powertrains V Lecture (V) 2134155, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

1. Introduction and Goal 2. Alternative Powertrains 3. Fundamentals of Hybrid Powertrains 4. Fundamentals of Electric Components of Hybrid Powertrains 5. Interactions in Hybrid Powertrain Development 6. Overall System Optimization

Industrial Engineering and Management M.Sc. 304 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Health [T-WIWI-109246]

T 7.98 Course: Digital Health [T-WIWI-109246]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 3

Events WT 21/22 2511402 Digital Health 2 SWS Lecture Sunyaev, Thiebes, Schmidt-Kraepelin Exams ST 2021 7900062 Digital Health Sunyaev WT 21/22 7900068 Digital Health Sunyaev

Competence Certificate Alternative exam assessment (written elaboration, presentation, peer review, oral participation) according to §4(2),3 of the examination regulation. Details of the grading will be announced at the beginning of the course. The examination is only offered to first-time writers in the winter semester, but can be repeated in the following summer semester.

Prerequisites None.

Below you will find excerpts from events related to this course:

Digital Health V Lecture (V) 2511402, WS 21/22, 2 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 305 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Health [T-WIWI-109246]

Content The master course Digital Health introduces master students to the subject of digitization in health care. Students will learn about the theoretical foundations and practical implications of various topics surrounding the digitization in health care, including health information systems, telematics, big health care data, and patient-centered health care. After an introduction to the challenge of digitization in health care, the following sessions will focus on an in-depth exploration of selected cases that represent current challenges in research and practice. Students will work (in a group of 3-4) on a selected topic and have to write a course paper. Students can choose a topic from a variety of topics. To answer the research questions, students can use literature reviews but also interviews, surveys, programming tasks, and other research methods are possible. There will be a short introduction to the topics for the course paper in the following topic areas. In addition, it will be possible to propose your own topics as a group in the topic areas:

• Mobile Health (mHealth) / Gamification • Distributed Ledger Technology / Blockchain • Artificial Intelligence / Machine Learning • Genomics / Biomedical Data

Since we offer topics in this course that also correspond to the research interests in our research group, there may be the opportunity to work on the topics in more depth in the course of a final thesis. Learning objectives: Students know about the challenges of digitization in health care and can leverage relevant concepts and technologies to address these challenges. Students learn to work in teams and critically discuss digital health topics with fellow students, researchers, and practitioners. Notes: The number of participants is limited to 30 students. Please register here. The registration will be opened from September 7, 2021 until October 12, 2021. Please make sure that you are available at the following dates if you want to take the course:

• 21.10.2021, 16:00–17:30 - 1. Introduction to Digital Health • 28.10.2021, 16:00–17:30 - 2. Topic Area Presentation #1 • 04.11.2021, 16:00–17:30 - 3. Topic Area Presentation #2 • 11.11.2021, 16:00–17:30 - 4. Guest Lecture • 10.02.2022, 10:00–17:00 - Final Presentation

Further information on the course structure will be announced in the first session. Depending on the number of participants the individual sessions can have a shorter duration. The meetings will take place online via MS Teams. We will provide a link to join the team if your registration was approved. If you have any questions regarding course registration, please contact [email protected] or manuel.schmidt- [email protected]

Industrial Engineering and Management M.Sc. 306 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Marketing and Sales in B2B [T-WIWI-106981]

T 7.99 Course: Digital Marketing and Sales in B2B [T-WIWI-106981]

Responsible: Prof. Dr. Martin Klarmann Anja Konhäuser Organisation: KIT Department of Economics and Management Part of: M-WIWI-105312 - Marketing and Sales Management

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each summer term 1

Events

ST 2021 2571156 Digital Marketing and Sales in B2B 1 SWS Others (sons / 🖥 Konhäuser Exams ST 2021 7900297 Digital Marketing and Sales in B2B Klarmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment according to § 4 paragraph 2 Nr. 3 of the examination regulation. (team presentation of a case study with subsequent discussion totalling 30 minutes).

Prerequisites None.

Annotation Participation requires an application. The application period starts at the beginning of the semester. More information can be obtained on the website of the research group Marketing and Sales (marketing.iism.kit.edu). Access to this course is restricted. Typically all students will be granted the attendance of one course with 1.5 ECTS. Nevertheless attendance can not be guaranteed.For further information please contact Marketing and Sales Research Group (marketing.iism.kit.edu).Please note that only one of the 1.5-ECTS courses can be attended in this module.

Below you will find excerpts from events related to this course:

Digital Marketing and Sales in B2B V Others (sonst.) 2571156, SS 2021, 1 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 307 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Marketing and Sales in B2B [T-WIWI-106981]

Content Learning Sessions: The class gives insights into digital marketing strategies as well as the effects and potential of different channels (e.g., SEO, SEA, Social Media). After an overview of possible activities and leverages in the digital marketing field, including their advantages and limits, the focus will turn to the B2B markets. There are certain requirements in digital strategy specific to the B2B market, particularly in relation to the value chain, sales management and customer support. Therefore, certain digital channels are more relevant for B2B marketing than for B2C marketing. Once the digital marketing and tactics for the B2B markets are defined, further insights will be given regarding core elements of a digital strategy: device relevance (mobile, tablet), usability concepts, website appearance, app decision, market research and content management. A major advantage of digital marketing is the possibility of being able to track many aspects of of user reactions and user behaviour. Therefore, an overview of key performance indicators (KPIs) will be discussed and relationships between these KPIs will be explained. To measure the effectiveness of digital activities, a digital report should be set up and connected to the performance numbers of the company (e.g. product sales) – within the course the setup of the KPI dashboard and combination of digital and non-digital measures will be shown to calculate the Return on Investment (RoI).

Presentation Sessions: After the learning sessions, the students will form groups and work on digital strategies within a case study format. The presentation of the digital strategy will be in front of the class whereas the presentation will take 20 minutes followed by 10 minutes questions and answers.

• Understand digital marketing and sales approaches for the B2B sector • Recognise important elements and understand how-to-setup of digital strategies • Become familiar with the effectiveness and usage of different digital marketing channels • Understand the effect of digital sales on sales management, customer support and value chain • Be able to measure and interpret digital KPIs • Calculate the Return on Investment (RoI) for digital marketing by combining online data with company performance data time of presentness = 15 hrs. private study = 30 hrs.

Organizational issues Blockveranstaltung, Raum 115, Geb. 20.21, Termine werden noch bekannt gegeben

Literature -

Industrial Engineering and Management M.Sc. 308 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Services: Business Models and Transformation [T-WIWI-110280]

T 7.100 Course: Digital Services: Business Models and Transformation [T-WIWI-110280]

Responsible: Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101448 - Service Management M-WIWI-102754 - Service Economics and Management M-WIWI-102808 - Digital Service Systems in Industry

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2595484 Digital Services: Business Models 2 SWS Lecture Satzger, Schüritz and Transformation WT 21/22 2595485 1 SWS Practice Schüritz, Heinz Exams ST 2021 7900304 Digital Services: Business Models and Transformation Satzger WT 21/22 7900329 Digital Services: Business Models and Transformation (01.03.22) - Satzger Hauptklausur

Competence Certificate The assessment of this course is a written examination (60 min.) (following §4(2), 1 SPOs) and by submitting written papers as part of the exercise.

Prerequisites None

Recommendation None

Annotation former name until winter semester 2019/2020: "Business and IT Service Management" (T-WIWI-102881)

Below you will find excerpts from events related to this course:

Digital Services: Business Models and Transformation V Lecture (V) 2595484, WS 21/22, 2 SWS, Language: English, Open in study portal

Content While the digitalization creates new opportunities for organizations, it also comes with its challenges: formerly proven business models become obsolete and need to be refined, internal processes cannot keep up with the requirements of the market and need to reassessed in any way. The shift towards a service-based economy enables and requires companies to leverage advances in information technology to create added value for their customers. In particular, the emergence of big data and analytics enables better decision-making. The lecture teaches approaches that enable organizations to adapt their business models to new market requirements and showcases how to plan and execute a successful transformation to the desired organizational setup. The lecture links academic content with practical examples and excises. Students are asked to actively engage in the discussion and contribute their knowledge. Invited guest speakers from industry and case studies emphasize the practical character of this lecture.

Industrial Engineering and Management M.Sc. 309 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Services: Business Models and Transformation [T-WIWI-110280]

Literature Böhmann, T./ Leimeister, J.M./ Möslein, K. (2014), Service Systems Engineering, Business & Information Systems Engineering, Vol. 6, No.2, 73-79 Cardoso et al. (Hrsg.) (2015), Fundamentals on Service Systems Hartmann/ Zaki/ Feldmann/ Neely (2016), Capturing value from big data - a taxonomy of data-driven business models used by start-up firms, IJPOR, 36 (10), 1382-1406. Schüritz R./Seebacher S./Satzger G./Schwartz L. (2017), Datatization as the Next Frontier of Servitization; in Proceedings of International Conference on Information Systems 2017 Vargo S. / Lusch R. (2017) Service-dominant logic 2025, in: IJRM 34, 46-67 Weill, P.; Woerner, S.L. (2018): “What‘s your Digital Business Model? – Six Questions to Help you Build the Next-Generation Enterprise“. Boston, Massachusetts: Harvard Business Review Press. Wirtz, B.(2019): “Digital Business Models – Concepts, Models, and the Alphabet Case Study”. Springer.

Industrial Engineering and Management M.Sc. 310 Module Handbook as of 30/09/2021 7 COURSES Course: Digital Transformation and Business Models [T-WIWI-108875]

T 7.101 Course: Digital Transformation and Business Models [T-WIWI-108875]

Responsible: Dr. Daniel Jeffrey Koch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events

ST 2021 2545103 Digital Transformation and 2 SWS Seminar / 🖥 Koch Business Models Exams ST 2021 7900284 Digital Transformation and Business Models Weissenberger-Eibl

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Non exam assessment (following §4(2) 3 of the examination regulation). The final grade is composed 75% of the grade of the written paper and 25% of the presentation.

Prerequisites None

Recommendation Prior attendance of the course Innovation Management is recommended.

Below you will find excerpts from events related to this course:

Digital Transformation and Business Models V Seminar (S) 2545103, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The seminar "Digital Transformation and Business Models" aims at the development of thematic aspects of digital transformation with simultaneous application of different business model methodologies. Established companies face the challenge of digital transformation. The digital transformation is particularly relevant for the business models of industrial enterprises. As part of innovation management, the examination of business model changes against the background of digital transformation is one of the main challenges facing the German economy. At the beginning, seminar topics will be assigned. These will be presented and discussed at the end of the seminar. In the first seminar date impulses to business model methodologies and the digital transformation take place, which are to be discussed then, in order to provide an understanding for the topic complex and to ensure the purposeful development of the seminar topics.

Industrial Engineering and Management M.Sc. 311 Module Handbook as of 30/09/2021 7 COURSES Course: Digitalization from Production to the Customer in the Optical Industry [T-MACH-110176]

T 7.102 Course: Digitalization from Production to the Customer in the Optical Industry [T-MACH-110176]

Responsible: Dr.-Ing. Marc Wawerla Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each winter term 3

Events WT 21/22 2149701 Digitalization from Production 2 SWS Lecture / 🧩 Wawerla to the Customer in the Optical Industry Exams ST 2021 76-T-MACH-110176 Digitalization from Production to the Customer in the Optical Wawerla Industry

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative test achievement (graded): - Written processing of a case study (weighting 50%) and - Presentation of the results (ca. 10 min.) followed by a colloquium (ca. 30 min.), (weighting 50%)

Prerequisites none

Below you will find excerpts from events related to this course:

Digitalization from Production to the Customer in the Optical Industry V Lecture (V) 2149701, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Content The lecture deals with Digitalization along the entire value chain end-to-end, with a focus on production and supply chain. Within this context, concepts, tools, methods, technologies and concrete applications in the industry are presented. Furthermore, the students get the opportunity to get first-hand insights into the digitalization journey of a German technology company. Main topics of the lecture:

• Concepts and methods such as disruptive innovation and agile project management • Overview on technologies at disposal • Practical approaches in innovation • Applications in industry • Field trip to ZEISS

Learning Outcomes: The students …

• are capable to comment on the content covered by the lecture. • are able to analyze and evaluate the suitability of digitalization technologies in the optical industry. • are able to assess the applicability of methods such as disruptive innovation and agile project management. • are able to appreciate the practical challenges to digitalization in industry.

Workload: regular attendance: 21 hours self-study: 99 hours

Industrial Engineering and Management M.Sc. 312 Module Handbook as of 30/09/2021 7 COURSES Course: Digitalization from Production to the Customer in the Optical Industry [T-MACH-110176]

Organizational issues Start: 22.10.2021

Industrial Engineering and Management M.Sc. 313 Module Handbook as of 30/09/2021 7 COURSES Course: Digitalization in Facility and Real Estate Management [T-BGU-108941]

T 7.103 Course: Digitalization in Facility and Real Estate Management [T-BGU-108941]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-105592 - Digitalization in Facility Management

Type Credits Grading scale Recurrence Version Examination of another type 6 Grade to a third Each term 1

Events WT 21/22 6200007 Digitization in Facility- and Real 4 SWS Lecture / Practice ( / Lennerts, Mitarbeiter/ Estate Management 🗣 innen WT 21/22 6242907 Digitization in Facility- and Real 4 SWS Lecture / Practice ( Lennerts, Mitarbeiter/ Estate Management innen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate project work incl. report, appr. 15 pages, and presentation/colloquium, appr. 15 min

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 314 Module Handbook as of 30/09/2021 7 COURSES Course: Digitalization of Products, Services & Production [T-MACH-108491]

T 7.104 Course: Digitalization of Products, Services & Production [T-MACH-108491]

Responsible: Dr.-Ing. Bernd Pätzold Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 1

Events

ST 2021 2122310 Digitalization of Products, Services 2 SWS Seminar / 🗙 Pätzold & Production

WT 21/22 2122310 Digitalization of Products, Services 2 SWS Seminar / 🗣 Pätzold & Production

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Assessment of another type. Two presentations in team work and two written compositions. Grading: each composition 1/6 and each presentation 2/3.

Prerequisites none

Below you will find excerpts from events related to this course:

Digitalization of Products, Services & Production V Seminar (S) 2122310, SS 2021, 2 SWS, Language: German, Open in study portal Cancelled

Content

• Digitalization of products, services and production in the context of Industry 4.0 . • Key drivers for ongoing digitalization and their impact on future product development and manufacturing. • Methods and procedures to design the according transformation process. • Intensive group discussions of use-case scenarios using practical examples from the industry.

Students are able to

• describe the fundamental challenges and objectives of the progressive digitalization of products, service and production. In context of these challenges, students can name and explain the essential terms. • illustrate the key drivers and fundamental technologies behind the digitalization of products, services and processes. • describe the challenges of the ongoing digitalization and the corresponding changes in business processes and distinguish between them in regards to time and place. Furthermore, students are able to assign the IT-Architecture and systems to the corresponding process steps. • highlight the requirement for future information management in networks of product development and production institutions and can clarify how to validated and safeguard the corresponding IT processes. • to analyze the challenges of digitalization and present potential solution approaches via self-created scenarios for future developments.

Organizational issues Siehe Homepage zur Lehrveranstaltung

Literature Vorlesungsfolien / lecture slides

Digitalization of Products, Services & Production V Seminar (S) 2122310, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 315 Module Handbook as of 30/09/2021 7 COURSES Course: Digitalization of Products, Services & Production [T-MACH-108491]

Content

• Digitalization of products, services and production in the context of Industry 4.0 . • Key drivers for ongoing digitalization and their impact on future product development and manufacturing. • Methods and procedures to design the according transformation process. • Intensive group discussions of use-case scenarios using practical examples from the industry.

Students are able to

• describe the fundamental challenges and objectives of the progressive digitalization of products, service and production. In context of these challenges, students can name and explain the essential terms. • illustrate the key drivers and fundamental technologies behind the digitalization of products, services and processes. • describe the challenges of the ongoing digitalization and the corresponding changes in business processes and distinguish between them in regards to time and place. Furthermore, students are able to assign the IT-Architecture and systems to the corresponding process steps. • highlight the requirement for future information management in networks of product development and production institutions and can clarify how to validated and safeguard the corresponding IT processes. • to analyze the challenges of digitalization and present potential solution approaches via self-created scenarios for future developments.

Organizational issues Siehe Homepage zur Lehrveranstaltung

Literature Vorlesungsfolien / lecture slides

Industrial Engineering and Management M.Sc. 316 Module Handbook as of 30/09/2021 7 COURSES Course: Disassembly Process Engineering [T-BGU-101850]

T 7.105 Course: Disassembly Process Engineering [T-BGU-101850]

Responsible: Prof. Dr.-Ing. Sascha Gentes Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events ST 2021 6243803 Verfahrenstechniken der 2 SWS Lecture / Practice ( / Gentes Demontage 🖥 Exams ST 2021 8240101850 Disassembly Process Engineering Gentes WT 21/22 8240101850 Disassembly Process Engineering Gentes

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 317 Module Handbook as of 30/09/2021 7 COURSES Course: Discrete-Event Simulation in Production and Logistics [T-WIWI-102718]

T 7.106 Course: Discrete-Event Simulation in Production and Logistics [T-WIWI-102718]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: M-WIWI-102805 - Service Operations M-WIWI-102832 - Operations Research in Supply Chain Management

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2550488 Ereignisdiskrete Simulation in 3 SWS Lecture / 🖥 Spieckermann Produktion und Logistik Exams ST 2021 7900267 Discrete-Event Simulation in Production and Logistics Spieckermann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written paper and an oral exam of about 30-40 min (alternative exam assessment).

Prerequisites None

Recommendation Basic knowledge as conveyed in the module "Introduction to Operations Research" is assumed.

Annotation Due to capacity restrictions, registration before course start is required. For further information see the webpage of the course. The course is planned to be held every summer term. The planned lectures and courses for the next three years are announced online.

Below you will find excerpts from events related to this course:

Ereignisdiskrete Simulation in Produktion und Logistik V Lecture (V) 2550488, SS 2021, 3 SWS, Language: German, Open in study portal Online

Content Simulation of production and logistics systems is an interdisciplinary subject connecting expert knowledge from production management and operations research with mathematics/statistics as well as computer science and software engineering. With completion of this course, students know statistical foundations of discrete simulation, are able to classify and apply related software applications, and know the relation between simulation and optimization as well as a number of application examples. Furthermore, students are enabled to structure simulation studies and are aware of specific project scheduling issues.

Literature

• Banks J., Carson II J. S., Nelson B. L., Nicol D. M. (2010) Discrete-event system simulation, 5.Aufl., Pearson, Upper Saddle River. • Eley, M. (2012): Simulation in der Logistik - Einführung in die Erstellung ereignisdiskreter Modelle unter Verwendung des Werkzeuges "Plant Simulation“, Springer, Berlin und Heidelberg • Kosturiak, J. und M. Gregor (1995): Simulation von Produktionssystemen. Springer, Wien und New York. • Law, A. M. (2015): Simulation Modeling and Analysis. 5th Edition, McGraw-Hill, New York usw. • Liebl, F. (1995): Simulation. 2. Auflage, Oldenbourg, München. • Noche, B. und S. Wenzel (1991): Marktspiegel Simulationstechnik. In: Produktion und Logistik. TÜV Rheinland, Köln. • Pidd, M. (2004): Computer Simulation in Management Science. 5th Edition, Wiley, Chichester. • Robinson S (2004) Simulation: the practice of model development and use. John Wiley & Sons, Chichester • VDI (2014): Simulation von Logistik-, Materialfluß- und Produktionssystemen. VDI Richtlinie 3633, Blatt 1, VDI-Verlag, Düsseldorf.

Industrial Engineering and Management M.Sc. 318 Module Handbook as of 30/09/2021 7 COURSES Course: Drying of Dispersions [T-CIWVT-111433]

T 7.107 Course: Drying of Dispersions [T-CIWVT-111433]

Responsible: Prof. Dr.-Ing. Heike Karbstein Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101119 - Specialization in Food Process Engineering

Type Credits Grading scale Recurrence Version Written examination 1,5 Grade to a third Each summer term 1

Events

ST 2021 22226 Trocknen von Dispersionen 1 SWS Lecture / 🖥 Karbstein Exams ST 2021 7220030 Drying of Dispersions Karbstein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 319 Module Handbook as of 30/09/2021 7 COURSES Course: Dynamic Macroeconomics [T-WIWI-109194]

T 7.108 Course: Dynamic Macroeconomics [T-WIWI-109194]

Responsible: Prof. Dr. Johannes Brumm Organisation: KIT Department of Economics and Management Part of: M-WIWI-101478 - Innovation and Growth M-WIWI-101496 - Growth and Agglomeration M-WIWI-101497 - Agglomeration and Innovation

Type Credits Grading scale Recurrence Version Oral examination 4,5 Grade to a third Each winter term 3

Events

WT 21/22 2560402 Dynamic Macroeconomics 2 SWS Lecture / 🖥 Brumm WT 21/22 2560403 Übung zu Dynamic 1 SWS Practice / 🖥 Krause Macroeconomics Exams ST 2021 7900245 Dynamic Macroeconomics Brumm

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a oral exam (30 min.).

Prerequisites None.

Below you will find excerpts from events related to this course:

Dynamic Macroeconomics V Lecture (V) 2560402, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Literature Literatur und Skripte werden in der Veranstaltung angegeben.

Industrial Engineering and Management M.Sc. 320 Module Handbook as of 30/09/2021 7 COURSES Course: Efficient Energy Systems and Electric Mobility [T-WIWI-102793]

T 7.109 Course: Efficient Energy Systems and Electric Mobility [T-WIWI-102793]

Responsible: PD Dr. Patrick Jochem Organisation: KIT Department of Economics and Management Part of: M-WIWI-101452 - Energy Economics and Technology

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each summer term 1

Events

ST 2021 2581006 Efficient Energy Systems and 2 SWS Lecture / 🖥 Jochem Electric Mobility Exams ST 2021 7981006 Efficient Energy Systems and Electric Mobility Fichtner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Efficient Energy Systems and Electric Mobility V Lecture (V) 2581006, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content This lecture series combines two of the most central topics in the field of energy economics at present, namely energy efficiency and electric mobility. The objective of the lecture is to provide an introduction and overview to these two subject areas, including theoretical as well as practical aspects, such as the technologies, political framework conditions and broader implications of these for national and international energy systems.

• Understand the concept of energy efficiency as applied to specific systems

• Obtain an overview of the current trends in energy efficiency

• Be able to determine and evaluate alternative methods of energy efficiency improvement

• Overview of technical and economical stylized facts on electric mobility

• Judging economical, ecological and social impacts through electric mobility

Organizational issues Freitag 09:45-11:15 Uhr

Literature Wird in der Vorlesung bekanntgegeben.

Industrial Engineering and Management M.Sc. 321 Module Handbook as of 30/09/2021 7 COURSES Course: eFinance: Information Systems for Securities Trading [T-WIWI-110797]

T 7.110 Course: eFinance: Information Systems for Securities Trading [T-WIWI-110797]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101446 - Market Engineering M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2540454 eFinance: Information Systems for 2 SWS Lecture Weinhardt, Notheisen Securities Trading WT 21/22 2540455 Übungen zu eFinance: 1 SWS Practice Jaquart Wirtschaftsinformatik für den Wertpapierhandel

Competence Certificate Success is monitored by means of ongoing elaborations and presentations of tasks and an examination (60 minutes) at the end of the lecture period. The scoring scheme for the overall evaluation will be announced at the beginning of the course.

Modeled Conditions The following conditions have to be fulfilled:

1. The course T-WIWI-102600 - eFinance: Information Engineering and Management for Securities Trading must not have been started.

Annotation The course"eFinance: Information Systems for Securities Trading" covers different actors and their function in the securities industry in-depth, highlighting key trends in modern financial markets, such as Distributed Ledger Technology, Sustainable Finance, and Artificial Intelligence. Security prices evolve through a large number of bilateral trades, performed by market participants that have specific, well-regulated and institutionalized roles. Market microstructure is the subfield of financial economics that studies the price formation process. This process is significantly impacted by regulation and driven by technological innovation. Using the lens of theoretical economic models, this course reviews insights concerning the strategic trading behaviour of individual market participants, and models are brought market data. Analytical tools and empirical methods of market microstructure help to understand many puzzling phenomena in securities markets.

Below you will find excerpts from events related to this course:

eFinance: Information Systems for Securities Trading V Lecture (V) 2540454, WS 21/22, 2 SWS, Language: English, Open in study portal

Literature

• Picot, Arnold, Christine Bortenlänger, Heiner Röhrl (1996): "Börsen im Wandel". Knapp, Frankfurt • Harris, Larry (2003): "Trading and Exchanges - Market Microstructure for Practitioners"". Oxford University Press, New York

Weiterführende Literatur:

• Gomber, Peter (2000): "Elektronische Handelssysteme - Innovative Konzepte und Technologien". Physika Verlag, Heidelberg • Schwartz, Robert A., Reto Francioni (2004): "Equity Markets in Action - The Fundamentals of Liquidity, Market Structure and Trading". Wiley, Hoboken, NJ

Industrial Engineering and Management M.Sc. 322 Module Handbook as of 30/09/2021 7 COURSES Course: Electronics and EMC [T-ETIT-100723]

T 7.111 Course: Electronics and EMC [T-ETIT-100723]

Responsible: Dr. Martin Sack Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101163 - High-Voltage Technology

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 2307378 Electronics and EMC 2 SWS Lecture / 🖥 Sack Exams ST 2021 7307378 Electronics and EMC Sack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 323 Module Handbook as of 30/09/2021 7 COURSES Course: Elements and Systems of Technical Logistics [T-MACH-102159]

T 7.112 Course: Elements and Systems of Technical Logistics [T-MACH-102159]

Responsible: Georg Fischer Dr.-Ing. Martin Mittwollen Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2117096 Elements and systems of 3 SWS Lecture / Practice ( / Mittwollen Technical Logistics 🗙 Exams ST 2021 76-T-MACH-102159 Elements and Systems of Technical Logistics Mittwollen WT 21/22 76-T-MACH-102159 Elements and Systems of Technical Logistics Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20min) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulation.

Prerequisites none

Recommendation Knowledge out of "Basics of Technical Logistics I" (T-MACH-109919) preconditioned.

Below you will find excerpts from events related to this course:

Elements and systems of Technical Logistics V Lecture / Practice (VÜ) 2117096, WS 21/22, 3 SWS, Language: German, Open in study portal Cancelled

Organizational issues Die Vorlesung wird ab SS 2022 in stark überarbeiteter Form angeboten werden. Für die bisherige Veranstaltung werden weiterhin Prüfungen zu den üblichen Terminen angeboten. Die Erfolgskontrolle erfolgt in Form einer mündlichen (20min.) Prüfung (nach §4 (2), 2 SPO). Die Prüfung wird in jedem Semester angeboten und kann zu jedem ordentlichen Prüfungstermin wiederholt werden. siehe auch Homepage / ILIAS This lecture will be offered in a deeply restructured form in SS 2022 Assessment for the former lecture is provided also in the future at the regular times The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulations. look also at our homepage / ILIAS

Industrial Engineering and Management M.Sc. 324 Module Handbook as of 30/09/2021 7 COURSES Course: Elements and Systems of Technical Logistics - Project [T-MACH-108946]

T 7.113 Course: Elements and Systems of Technical Logistics - Project [T-MACH-108946]

Responsible: Georg Fischer Dr.-Ing. Martin Mittwollen Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Examination of another type 2 Grade to a third Each winter term 1

Events

WT 21/22 2117097 Elements and systems of Project (P / 🗙 Mittwollen Technical Logistics - project Exams ST 2021 76-T-MACH-108946 Elements and Systems of Technical Logistics - Project Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Presentation of performed project and defense (30min) according to $4 (2), No. 3 of the examination regulation

Prerequisites T-MACH-102159 (Elements and Systems of Technical Logistics) must have been started

Recommendation Knowledge out of "Basics of Technical Logistics I" (T-MACH-109919) preconditioned.

Below you will find excerpts from events related to this course:

Elements and systems of Technical Logistics - project V Project (PRO) 2117097, WS 21/22, SWS, Language: German, Open in study portal Cancelled

Organizational issues Das Projekt (als Ergänzung zur Vorlesung) wird ab SS 2022 in stark überarbeiteter Form angeboten werden. Für die bisherige Veranstaltung werden weiterhin Prüfungen zu den üblichen Terminen angeboten. Die Erfolgskontrolle erfolgt in Form einer mündlichen (20min.) Prüfung (nach §4 (2), 2 SPO). Die Prüfung wird in jedem Semester angeboten und kann zu jedem ordentlichen Prüfungstermin wiederholt werden. siehe auch Homepage / ILIAS This project (as complement to the lecture) will be offered in a deeply restructured form in SS 2022 Assessment for the former lecture is provided also in the future at the regular times The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulations. look also at our homepage / ILIAS

Industrial Engineering and Management M.Sc. 325 Module Handbook as of 30/09/2021 7 COURSES Course: Emerging Trends in Digital Health [T-WIWI-110144]

T 7.114 Course: Emerging Trends in Digital Health [T-WIWI-110144]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2513404 Seminar Emerging Trends in Digital 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Health (Bachelor)

ST 2021 2513405 Seminar Emerging Trends in Digital 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Health (Master) Exams ST 2021 7900146 Seminar Emerging Trends in Digital Health (Master) Sunyaev

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of a final thesis.

Prerequisites None.

Annotation The course is usually held as a block course.

Industrial Engineering and Management M.Sc. 326 Module Handbook as of 30/09/2021 7 COURSES Course: Emerging Trends in Internet Technologies [T-WIWI-110143]

T 7.115 Course: Emerging Trends in Internet Technologies [T-WIWI-110143]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2513402 Seminar Emerging Trends in 2 SWS Seminar / 🖥 Sunyaev, Thiebes, Lins Internet Technologies (Bachelor)

ST 2021 2513403 Seminar Emerging Trends in 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Internet Technologies (Master) Exams ST 2021 7900128 Seminar Emerging Trends in Internet Technologies (Master) Sunyaev

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of a final thesis.

Prerequisites None.

Annotation The course is usually held as a block course.

Industrial Engineering and Management M.Sc. 327 Module Handbook as of 30/09/2021 7 COURSES Course: Emissions into the Environment [T-WIWI-102634]

T 7.116 Course: Emissions into the Environment [T-WIWI-102634]

Responsible: Ute Karl Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each winter term 1

Events

WT 21/22 2581962 Emissions into the Environment 2 SWS Lecture / 🖥 Karl Exams ST 2021 7981962 Emissions into the Environment Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral (30 minutes) or written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Recommendation None

Below you will find excerpts from events related to this course:

Emissions into the Environment V Lecture (V) 2581962, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content Emission sources/emission monitoring/emission reduction: The lecture gives an overview of relevant emissions of air pollutants and greenhouse gases, emission monitoring and pollutant abatement options together with relevant legal regulations at national and international level. In addition, the fundamentals of circular economy, waste management and recycling are explained. Structure: Air pollution control

• Introduction, terms and definitions • Sources of air pollutants • Legal framework of air quality control • Technical measures to reduce air pollutant emissions

Circular economy, recycling and waste management

• Waste collection and logistics • Dual systems for packaging waste • Recycling • Thermal and biological waste treatment • Final waste disposal

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 328 Module Handbook as of 30/09/2021 7 COURSES Course: Employment Law [T-INFO-111436]

T 7.117 Course: Employment Law [T-INFO-111436]

Responsible: Dr. Alexander Hoff Organisation: KIT Department of Informatics Part of: M-INFO-101216 - Private Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Industrial Engineering and Management M.Sc. 329 Module Handbook as of 30/09/2021 7 COURSES Course: Energetic Refurbishment [T-BGU-111211]

T 7.118 Course: Energetic Refurbishment [T-BGU-111211]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Dr.-Ing. Harald Schneider Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-105592 - Digitalization in Facility Management M-BGU-105597 - Facility Management in Hospitals

Type Credits Grading scale Recurrence Expansion Version Oral examination 1,5 Grade to a third Each term 1 terms 1

Events WT 21/22 6240903 Energetische Sanierung 1 SWS Lecture Kropp, Schneider

Competence Certificate oral exam, appr. 20 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 330 Module Handbook as of 30/09/2021 7 COURSES Course: Energy and Environment [T-WIWI-102650]

T 7.119 Course: Energy and Environment [T-WIWI-102650]

Responsible: Ute Karl Organisation: KIT Department of Economics and Management Part of: M-WIWI-101452 - Energy Economics and Technology M-WIWI-101468 - Environmental Economics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2581003 Energy and Environment 2 SWS Lecture / 🖥 Karl ST 2021 2581004 Übungen zu Energie und Umwelt 1 SWS Practice / 🖥 Fraunholz, Langenmayr, Fichtner Exams ST 2021 7981003 Energy and Environment Fichtner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None.

Below you will find excerpts from events related to this course:

Energy and Environment V Lecture (V) 2581003, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The lecture focuses on the environmental impacts arising from fossil fuels use and on the methods for the evaluation of such impacts. The first part of the lecture describes the environmental impacts of air pollutants and greenhouse gases as well as technical measures for emission control. The second part covers methods of impact assessment and their use in environmental communication as well as methods for the scientific support of emission control strategies. The topics include:

• Fundamentals of energy conversion • Formation of air pollutants during combustion • Technical measures to control emissions from fossil-fuel combustion processes • External effects of energy supply (life cycle analyses of selected energy systems) • Environmental communication on energy services (e.g. electricity labelling, carbon footprint) • Integrated Assessment Modelling to support the European Clean Air Strategy • Cost-effectiveness analyses and cost-benefit analyses for emission control strategies • Monetary valuation of external effects (external costs)

Literature Die Literaturhinweise sind in den Vorlesungsunterlagen enthalten (vgl. ILIAS)

Industrial Engineering and Management M.Sc. 331 Module Handbook as of 30/09/2021 7 COURSES Course: Energy and Process Technology I [T-MACH-102211]

T 7.120 Course: Energy and Process Technology I [T-MACH-102211]

Responsible: Prof. Dr.-Ing. Hans-Jörg Bauer Prof. Dr. Ulrich Maas Dr.-Ing. Corina Schwitzke Dr. Amin Velji Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101296 - Energy and Process Technology I

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each winter term 1

Events WT 21/22 2157961 Energy and Process Technology I 6 SWS Lecture / Practice ( / Bauer, Mitarbeiter, 🗣 Wagner, Maas Exams ST 2021 76-T-MACH-102211 Energy and Process Technology I Bauer, Wirbser, Schwitzke, Pritz WT 21/22 76-T-MACH-102211 Energy and Process Technology I Bauer, Wirbser, Schwitzke

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (120 minutes) (following §4(2), 1 of the examination regulation).

Prerequisites none

Below you will find excerpts from events related to this course:

Energy and Process Technology I V Lecture / Practice (VÜ) 2157961, WS 21/22, 6 SWS, Language: German, Open in study portal On-Site

Content The last thrid of the lecture deals with the topic Thermal Turbomachinery. The basic principles, the functionality and the scope of application of gas and steam tubrines for the generation of electrical power and propulsion technology are addressed. The students are able to:

• describe and calculate the basic physical-technical processes • apply the mathematical and thermodynamical description • reflect on and explain the diagrams and schematics • comment on diagrams • explain the functionality of gas and steam turbines and their components • name the applications of thermal turbomachinery and their role in the field of electricity generation and propulsion technology

Organizational issues Vorlesung findet in Präsenz statt, sofern die COVID-Inzidenzwerte es zulassen.

Industrial Engineering and Management M.Sc. 332 Module Handbook as of 30/09/2021 7 COURSES Course: Energy and Process Technology II [T-MACH-102212]

T 7.121 Course: Energy and Process Technology II [T-MACH-102212]

Responsible: Prof. Dr. Ulrich Maas Dr.-Ing. Corina Schwitzke Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101297 - Energy and Process Technology II

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each summer term 1

Events ST 2021 2170832 Energy and Process Technology 6 SWS Lecture / Practice ( / Schwitzke, Pritz, Maas II 🧩 Exams ST 2021 76-T-MACH-102212 Energy and Process Technology II Wirbser, Schwitzke, Bauer, Pritz WT 21/22 76-T-MACH-102212 Energy and Process Technology II Schwitzke, Wirbser, Bauer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (120 minutes) (following §4(2), 1 of the examination regulation).

Prerequisites none

Below you will find excerpts from events related to this course:

Energy and Process Technology II V Lecture / Practice (VÜ) 2170832, SS 2021, 6 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content Thermal Turbomaschinery - In the first part of the lecture deals with energy systems. Questions regarding global energy resources and their use, especially for the generation and provision of electrical energy, are addressed. Common fossile and nuclear power plants for the centralized supply with electrical power as well as concepts of power-heat cogeneration for the decentralized electrical power supply by means of block-unit heat and power plants, etc. are discussed. Moreover, the characteristics and the potential of renewable energy conversion concepts, such as wind and hydro-power, photovoltaics, solar heat, geothermal energy and fuel cells are compare and evaluated. The focus is on the description of the potentials, the risks and the economic feasibility of the different strategies aimed to protect resources and reduce CO2 emissions. The students are able to:

• discuss and evaluate energy resources and reserves and their utility • review the use of energy carriers for electrical power generation • explain the concepts and properties of power-heat cogeneration, renewable energy conversion and fuel cells and their fields of application • comment on and compare centralized and decentralized supply concepts • calculate the potentials, riskis and economic feasibility of different strategies aiming at the protection of resources and the reduction of CO2 emissions • name and judge on the options for solar energy utilization • discuss the potential of geothermal energy and its utilization

Industrial Engineering and Management M.Sc. 333 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Conversion and Increased Efficiency in Internal Combustion Engines [T-MACH-105564]

T 7.122 Course: Energy Conversion and Increased Efficiency in Internal Combustion Engines [T-MACH-105564]

Responsible: Prof. Dr. Thomas Koch Dr.-Ing. Heiko Kubach Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101275 - Combustion Engines I

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Exams ST 2021 76-T-MACH-105564 Energy Conversion and Increased Efficiency in Internal Koch, Kubach Combustion Engines WT 21/22 76-T-MACH-105564 Energy Conversion and Increased Efficiency in Internal Koch Combustion Engines

Competence Certificate oral exam, 25 minutes, no auxillary means

Prerequisites none

Industrial Engineering and Management M.Sc. 334 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Efficient Intralogistic Systems [T-MACH-105151]

T 7.123 Course: Energy Efficient Intralogistic Systems [T-MACH-105151]

Responsible: Dr.-Ing. Meike Braun Dr. Frank Schönung Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events

WT 21/22 2117500 Energy efficient intralogistic 2 SWS Lecture / 🗣 Braun, Schönung systems

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral, 30 min. examination dates after the end of each lesson period.

Prerequisites none

Recommendation The content of course “Basics of Technical Logistics I” (T-MACH-109919) should be known.

Annotation Visit the IFL homepage of the course for the course dates and/or possible limitations of course participation.

Below you will find excerpts from events related to this course:

Energy efficient intralogistic systems V Lecture (V) 2117500, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content The content of course “Basics of Technical Logistics” should be knownn.

Organizational issues Termine und Hinweise siehe Homepage / Aushang

Literature Keine.

Industrial Engineering and Management M.Sc. 335 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Market Engineering [T-WIWI-107501]

T 7.124 Course: Energy Market Engineering [T-WIWI-107501]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101411 - Information Engineering M-WIWI-101446 - Market Engineering M-WIWI-101451 - Energy Economics and Energy Markets M-WIWI-103720 - eEnergy: Markets, Services and Systems

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540464 Energy Market Engineering 2 SWS Lecture / 🖥 Staudt ST 2021 2540465 Übung zu Energy Market 1 SWS Practice / 🖥 Staudt, Meinke Engineering Exams ST 2021 79852 Energy Market Engineering Weinhardt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulations). By successful completion of the exercises (§4 (2), 3 SPO 2007 respectively §4 (3) SPO 2015) a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4).

Prerequisites None

Recommendation None

Annotation Former course title until summer term 2017: T-WIWI-102794 "eEnergy: Markets, Services, Systems". The lecture has also been added in the IIP Module Basics of Liberalised Energy Markets.

Below you will find excerpts from events related to this course:

Energy Market Engineering V Lecture (V) 2540464, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature

• Erdmann G, Zweifel P. Energieökonomik, Theorie und Anwendungen. Berlin Heidelberg: Springer; 2007. • Grimm V, Ockenfels A, Zoettl G. Strommarktdesign: Zur Ausgestaltung der Auktionsregeln an der EEX *. Zeitschrift für Energiewirtschaft. 2008:147-161. • Stoft S. Power System Economics: Designing Markets for Electricity. IEEE; 2002., • Ströbele W, Pfaffenberger W, Heuterkes M. Energiewirtschaft: Einführung in Theorie und Politik. 2nd ed. München: Oldenbourg Verlag; 2010:349.

Industrial Engineering and Management M.Sc. 336 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Networks and Regulation [T-WIWI-107503]

T 7.125 Course: Energy Networks and Regulation [T-WIWI-107503]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101446 - Market Engineering M-WIWI-103720 - eEnergy: Markets, Services and Systems

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2540494 Energy Networks and Regulation 2 SWS Lecture Rogat WT 21/22 2540495 Übung zu Energy Networks and 1 SWS Practice Rogat Regulation

Competence Certificate The assessment consists of a written exam according to Section 4 (2), 1 of the examination regulation. The exam is offered every semester. Re-examinations are offered on every ordinary examination date.

Prerequisites None

Recommendation None

Annotation Former course title until summer term 2017: T-WIWI-103131 "Regulatory Management and Grid Management - Economic Efficiency of Network Operation"

Below you will find excerpts from events related to this course:

Energy Networks and Regulation V Lecture (V) 2540494, WS 21/22, 2 SWS, Open in study portal

Industrial Engineering and Management M.Sc. 337 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Networks and Regulation [T-WIWI-107503]

Content Learning Goals The student,

• understands the business model of a network operator and knows its central tasks in the energy supply system, • has a holistic overview of the interrelationships in the network economy, • understands the regulatory and business interactions, • is in particular familiar with the current model of incentive regulation with its essential components and understands its implications for the decisions of a network operator • is able to analyse and assess controversial issues from the perspective of different stakeholders.

Content of teaching The lecture “Energy Networks and Regulation” provides insights into the regulatory framework of electricity and gas. It touches upon the way the grids are operated and how regulation affects almost all grid activities. The lecture also addresses approaches of grid companies to cope with regulation on a managerial level. We analyze how the system influences managerial decisions and strategies such as investment or maintenance. Furthermore, we discuss how the system affects the operator’s abilities to deal with the massive challenges lying ahead (“Energiewende”, redispatch, European grid integration, electric vehicles etc.). Finally, we look at current developments and major upcoming challenges, e.g., the smart meter rollout. Covered topics include:

• Grid operation as a heterogeneous landscape: big vs. small, urban vs. rural, TSO vs. DSO • Objectives of regulation: Fair price calculation and high standard access conditions • The functioning of incentive regulation • First major amendment to the incentive regulation: its merits, its flaws • The revenue cap and how it is adjusted according to certain exogenous factors • Grid tariffs: How are they calculated, what is the underlying rationale, do we need a reform (and which)? • Exogenous costs shifted (arbitrarily?) into the grid, e.g. feed-in tariffs for renewable energy or decentralized supply.

Literature Averch, H.; Johnson, L.L (1962). Behavior of the firm under regulatory constraint, in: American Economic Review, 52 (5), S. 1052 – 1069. Bundesnetzagentur (2006): Bericht der Bundesnetzagentur nach § 112a EnWG zur Einführung der Anreizregulierung nach § 21a EnWG, http://www.bundesnetzagentur.de/SharedDocs/Downloads/DE/Sachgebiete/Energie/Unternehmen_Institutionen/ Netzentgelte/Anreizregulierung/BerichtEinfuehrgAnreizregulierung.pdf?__blob=publicationFile&v=3. Bundesnetzagentur (2015): Evaluierungsbericht nach § 33 Anreizregulierungsverordnung, https://www.bmwi.de/Redaktion/DE/ Downloads/A/anreizregulierungsverordnung-evaluierungsbericht.pdf?__blob=publicationFile&v=1. Filippini, M.; Wild, J.; Luchsinger, C. (2001) : Regulierung der Verteilnetzpreise zu Beginn der Marktöffnung. Erfahrungen in Norwegen und Schweden, Bundesamt für Energie, Bern, http://www.iaea.org/inis/collection/NCLCollectionStore/_Public/ 34/066/34066585.pdf. Gómez, T. (2013): Monopoly Regulation, in: Pérez-Arriaga, I.J. (Hg.): Regulation of the Power Sector, S. 151 – 198, Springer-Verlag, London. Gómez, T. (2013): Electricity Distribution, in: Pérez-Arriaga, I.J. (Hg.): Regulation of the Power Sector, S. 199 – 250, Springer- Verlag, London. Pérez-Arriaga, I.J. (2013): Challenges in Power Sector Regulation, in: Pérez-Arriaga, I.J. (Hg.): Regulation of the Power Sector, S. 647 – 678, Springer-Verlag, London. Rivier, M.; Pérez-Arriaga, I.J.; Olmos, L. (2013): Electricity Transmission, in: Pérez-Arriaga, I.J. (Hg.): Regulation of the Power Sector, S. 251 – 340, Springer-Verlag, London.

Industrial Engineering and Management M.Sc. 338 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Systems Analysis [T-WIWI-102830]

T 7.126 Course: Energy Systems Analysis [T-WIWI-102830]

Responsible: Dr. Armin Ardone Prof. Dr. Wolf Fichtner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101452 - Energy Economics and Technology

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 2581002 Energy Systems Analysis 2 SWS Lecture Fichtner, Ardone, Dengiz, Yilmaz Exams ST 2021 7981002 Energy Systems Analysis Fichtner

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Annotation Since 2011 the lecture is offered in winter term. Exams can still be taken in summer term.

Below you will find excerpts from events related to this course:

Energy Systems Analysis V Lecture (V) 2581002, WS 21/22, 2 SWS, Language: English, Open in study portal

Content 1. Overview and classification of energy systems modelling approaches 2. Usage of scenario techniques for energy systems analysis 3. Unit commitment of power plants 4. Interdependencies in energy economics 5. Scenario-based decision making in the energy sector 6. Visualisation and GIS techniques for decision support in the energy sector Learning goals: The student

• has the ability to understand and critically reflect the methods of energy system analysis, the possibilities of its application in the energy industry and the limits and weaknesses of this approach • can use select methods of the energy system analysis by her-/himself

Organizational issues Bitte Institutsaushang beachten.

Industrial Engineering and Management M.Sc. 339 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Systems Analysis [T-WIWI-102830]

Literature Weiterführende Literatur:

• Möst, D. und Fichtner, W.: Einführung zur Energiesystemanalyse, in: Möst, D., Fichtner, W. und Grunwald, A. (Hrsg.): Energiesystemanalyse, Universitätsverlag Karlsruhe, 2009 • Möst, D.; Fichtner, W.; Grunwald, A. (Hrsg.): Energiesystemanalyse - Tagungsband des Workshops "Energiesystemanalyse" vom 27. November 2008 am KIT Zentrum Energie, Karlsruhe, Universitätsverlag Karlsruhe, 2009 [PDF: http:// digbib.ubka.uni-karlsruhe.de/volltexte/documents/928852]

Industrial Engineering and Management M.Sc. 340 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Trade and Risk Management [T-WIWI-102691]

T 7.127 Course: Energy Trade and Risk Management [T-WIWI-102691]

Responsible: N.N. Organisation: KIT Department of Economics and Management Part of: M-WIWI-101451 - Energy Economics and Energy Markets

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2581020 Energy Trade and Risk Management 2 SWS Lecture / 🖥 Kraft, Fraunholz, Fichtner Exams ST 2021 7981020 Energy Trade and Risk Management Fichtner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The lecture "Energiehandel und Risikomanagement" will be held in English under the title "Energy Trading and Risk Management" from the summer semester 2022. The examination for the English-language lecture will be offered in English from the summer semester 2022. Examination offer for the previous German-language lecture: Last first attempt in winter semester 21/22; last examination offer for repeaters in summer semester 2022. The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Energy Trade and Risk Management V Lecture (V) 2581020, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content

1. Introduction to Markets, Mechanisms and Interaction 2. Electricity Trading (platforms, products, mechanisms) 3. Balancing Energy Markets and Congestion Management 4. Coal Markets (reserves, supply, demand, and transport) 5. Investments and Capacity Markets 6. Oil and Gas Markets (supply, demand, trade, and players) 7. Trading Game 8. Risk Management in Energy Trading

Organizational issues Termine siehe Institutsaushang, freitags 14:00-15:30 Uhr

Industrial Engineering and Management M.Sc. 341 Module Handbook as of 30/09/2021 7 COURSES Course: Energy Trade and Risk Management [T-WIWI-102691]

Literature Weiterführende Literatur: Burger, M., Graeber, B., Schindlmayr, G. (2007): Managing energy risk: An integrated view on power and other energy markets, Wiley&Sons, Chichester, England EEX (2010): Einführung in den Börsenhandel an der EEX auf Xetra und Eurex, www.eex.de Erdmann, G., Zweifel, P. (2008), Energieökonomik, Theorie und Anwendungen, Springer, ISBN: 978-3-540-71698-3 Hull, J.C. (2006): Options, Futures and other Derivatives, 6. Edition, Pearson Prentice Hall, New Jersey, USA Borchert, J., Schlemm, R., Korth, S. (2006): Stromhandel: Institutionen, Marktmodelle, Pricing und Risikomanagement (Gebundene Ausgabe), Schäffer-Poeschel Verlag www.riskglossary.com

Industrial Engineering and Management M.Sc. 342 Module Handbook as of 30/09/2021 7 COURSES Course: Engine Measurement Techniques [T-MACH-105169]

T 7.128 Course: Engine Measurement Techniques [T-MACH-105169]

Responsible: Dr.-Ing. Sören Bernhardt Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events ST 2021 2134137 Engine measurement techniques 2 SWS Lecture / 🧩 Bernhardt Exams WT 21/22 76-T-MACH-105169 Engine Measurement Techniques Koch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination, Duration: 0,5 hours, no auxiliary means

Prerequisites none

Recommendation T-MACH-102194 Combustion Engines I

Below you will find excerpts from events related to this course:

Engine measurement techniques V Lecture (V) 2134137, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature

1. Grohe, H.:Messen an Verbrennungsmotoren 2. Bosch: Handbuch Kraftfahrzeugtechnik 3. Veröffentlichungen von Firmen aus der Meßtechnik 4. Hoffmann, Handbuch der Meßtechnik 5. Klingenberg, Automobil-Meßtechnik, Band C

Industrial Engineering and Management M.Sc. 343 Module Handbook as of 30/09/2021 7 COURSES Course: Engineering Hydrology [T-BGU-108943]

T 7.129 Course: Engineering Hydrology [T-BGU-108943]

Responsible: Dr.-Ing. Uwe Ehret Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-104837 - Natural Hazards and Risk Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events ST 2021 6200617 Ingenieurhydrologie 2 SWS Lecture / Practice ( / Ehret 🖥 Exams ST 2021 8236108943 Engineering Hydrology Ehret

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate See German version.

Prerequisites None

Industrial Engineering and Management M.Sc. 344 Module Handbook as of 30/09/2021 7 COURSES Course: Engineering Interactive Systems [T-WIWI-110877]

T 7.130 Course: Engineering Interactive Systems [T-WIWI-110877]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-102806 - Service Innovation, Design & Engineering M-WIWI-104080 - Designing Interactive Information Systems

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 1

Exams ST 2021 00006 Engineering Interactive Systems Mädche WT 21/22 7900195 Engineering Interactive Systems Mädche

Competence Certificate Alternative exam assessment. The assessment consists of a one-hour exam and the implementation of a Capstone project. Details will be announced at the beginning of the course.

Prerequisites None

Recommendation None

Annotation The course is held in English.

Industrial Engineering and Management M.Sc. 345 Module Handbook as of 30/09/2021 7 COURSES Course: Entrepreneurial Leadership & Innovation Management [T-WIWI-102833]

T 7.131 Course: Entrepreneurial Leadership & Innovation Management [T- WIWI-102833]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 3

Competence Certificate Please note: The seminar cannot be offered in the winter semester 2019/2020 due to organizational reasons. Alternative exam assessment.

Prerequisites None

Recommendation None

Industrial Engineering and Management M.Sc. 346 Module Handbook as of 30/09/2021 7 COURSES Course: Entrepreneurship [T-WIWI-102864]

T 7.132 Course: Entrepreneurship [T-WIWI-102864]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101507 - Innovation Management M-WIWI-105010 - Student Innovation Lab (SIL) 1

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each term 1

Events

ST 2021 2545001 Entrepreneurship 2 SWS Lecture / 🖥 Terzidis Exams ST 2021 7900002 Entrepreneurship Terzidis ST 2021 7900192 Entrepreneurship Terzidis WT 21/22 7900045 Entrepreneurship Terzidis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2), 1 of the examination regulation). Students are offered the opportunity to earn a grade bonus through separate assignments. If the grade of the written exam is between 4.0 and 1.3, the bonus improves the grade by a maximum of one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the lecture.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Entrepreneurship V Lecture (V) 2545001, SS 2021, 2 SWS, Language: English, Open in study portal Online

Literature Füglistaller, Urs, Müller, Christoph und Volery, Thierry (2008): Entrepreneurship Ries, Eric (2011): The Lean Startup Osterwalder, Alexander (2010): Business Model Generation

Industrial Engineering and Management M.Sc. 347 Module Handbook as of 30/09/2021 7 COURSES Course: Entrepreneurship Research [T-WIWI-102894]

T 7.133 Course: Entrepreneurship Research [T-WIWI-102894]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon)

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events

ST 2021 2545002 Entrepreneurship Research 2 SWS Seminar / 🖥 Henn, Manthey, Terzidis Exams ST 2021 7900052 Entrepreneurship Research Terzidis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The performance review is done via a so called other methods of performance review (term paper) (alternative exam assessment). The final grade is a result from both, the grade of the term paper and its presentation, as well as active participation during the seminar.

Prerequisites None

Recommendation None

Annotation The topics will be prepared in groups. The presentation of the results is done during a a block period seminar at the end of the semester. Students have to be present all day long during the seminar.

Below you will find excerpts from events related to this course:

Entrepreneurship Research V Seminar (S) 2545002, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues Block am 21.04., 05.05., 14.07.

Literature Wird im Seminar bekannt gegeben.

Industrial Engineering and Management M.Sc. 348 Module Handbook as of 30/09/2021 7 COURSES Course: Environmental and Resource Policy [T-WIWI-102616]

T 7.134 Course: Environmental and Resource Policy [T-WIWI-102616]

Responsible: Rainer Walz Organisation: KIT Department of Economics and Management Part of: M-WIWI-101468 - Environmental Economics

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 1

Events ST 2021 2560548 Environmental and Ressource 2 SWS Lecture / Practice ( / Walz Policy 🖥 Exams ST 2021 7900277 Environmental and Resource Policy Mitusch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate See German version

Recommendation It is recommended to already have knowledge in the area of industrial organization and economic policy. This knowledge may be acquired in the coursesIntroduction to Industrial Organization [2520371] andEconomic Policy[2560280].

Below you will find excerpts from events related to this course:

Environmental and Ressource Policy V Lecture / Practice (VÜ) 2560548, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature Weiterführende Literatur: Michaelis, P.: Ökonomische Instrumente in der Umweltpolitik. Eine anwendungsorientierte Einführung, Heidelberg OECD: Environmental Performance Review Germany, Paris

Industrial Engineering and Management M.Sc. 349 Module Handbook as of 30/09/2021 7 COURSES Course: Environmental Communication [T-BGU-101676]

T 7.135 Course: Environmental Communication [T-BGU-101676]

Responsible: Dr. Charlotte Kämpf Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-104837 - Natural Hazards and Risk Management

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 2

Events

ST 2021 6224905 Environmental Communication 2 SWS Seminar / 🖥 Kämpf WT 21/22 6224905 Umweltkommunikation / 2 SWS Seminar Kämpf Environmental Communication Exams ST 2021 8244101676 Environmental Communication Kämpf

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Non exam assessment (following §4(2), 3 of the examination regulation).

Prerequisites Examination Prerequisite Environmental Communication must be passend.

Recommendation None

Annotation none

Industrial Engineering and Management M.Sc. 350 Module Handbook as of 30/09/2021 7 COURSES Course: Environmental Economics and Sustainability [T-WIWI-102615]

T 7.136 Course: Environmental Economics and Sustainability [T-WIWI-102615]

Responsible: Prof. Dr. Rainer Walz Organisation: KIT Department of Economics and Management Part of: M-WIWI-101468 - Environmental Economics

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 2

Events WT 21/22 2521547 Umweltökonomik und 2 SWS Lecture / Practice ( Walz Nachhaltigkeit (mit Übung) Exams ST 2021 7900273 Environmental Economics and Sustainability Mitusch

Competence Certificate See German version

Prerequisites None

Recommendation It is recommended to already have knowledge in the area of macro- and microeconomics. This knowledge may be acquired in the courses Economics I: Microeconomics [2600012] and Economics II: Macroeconomics [2600014].

Industrial Engineering and Management M.Sc. 351 Module Handbook as of 30/09/2021 7 COURSES Course: Environmental Law [T-BGU-111102]

T 7.137 Course: Environmental Law [T-BGU-111102]

Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-101468 - Environmental Economics

Type Credits Grading scale Recurrence Expansion Version Written examination 3 Grade to a third Each winter term 1 terms 1

Exams WT 21/22 8262111102_1 Environmental Law Smeddinck WT 21/22 8262111102_2 Environmental Law Smeddinck

Competence Certificate Written exam with 120 min

Prerequisites None

Annotation None

Industrial Engineering and Management M.Sc. 352 Module Handbook as of 30/09/2021 7 COURSES Course: European and International Law [T-INFO-101312]

T 7.138 Course: European and International Law [T-INFO-101312]

Responsible: Ulf Brühann Organisation: KIT Department of Informatics Part of: M-INFO-101217 - Public Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 24666 Europäisches und Internationales 2 SWS Lecture / 🖥 Brühann Recht Exams ST 2021 7500084 European and International Law Eichenhofer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 353 Module Handbook as of 30/09/2021 7 COURSES Course: Examination Prerequisite Environmental Communication [T-BGU-106620]

T 7.139 Course: Examination Prerequisite Environmental Communication [T- BGU-106620]

Responsible: Dr. Charlotte Kämpf Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-104837 - Natural Hazards and Risk Management

Type Credits Grading scale Recurrence Version Completed coursework 0 pass/fail Each summer term 1

Events

ST 2021 6224905 Environmental Communication 2 SWS Seminar / 🖥 Kämpf WT 21/22 6224905 Umweltkommunikation / 2 SWS Seminar Kämpf Environmental Communication Exams ST 2021 8244106620 Examination Prerequisite Environmental Communication Kämpf

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate 2 literature annotations, appr. 150 words each, and short presentation, appr. 10 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 354 Module Handbook as of 30/09/2021 7 COURSES Course: Excursions: Membrane Technologies [T-CIWVT-110864]

T 7.140 Course: Excursions: Membrane Technologies [T-CIWVT-110864]

Responsible: Prof. Dr. Harald Horn Dr.-Ing. Florencia Saravia Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101122 - Water Chemistry and Water Technology II

Type Credits Grading scale Recurrence Version Completed coursework 1 pass/fail Each summer term 1

Events

ST 2021 22606 Practical in Membrane 1 SWS Practice / 🖥 Horn, Saravia, und Technologies in Water Treatment Mitarbeiter Exams ST 2021 7232609 Excursions for Membrane Technologies Horn, Saravia

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 355 Module Handbook as of 30/09/2021 7 COURSES Course: Exercises in Civil Law [T-INFO-102013]

T 7.141 Course: Exercises in Civil Law [T-INFO-102013]

Responsible: Prof. Dr. Thomas Dreier Dr. Yvonne Matz Organisation: KIT Department of Informatics Part of: M-INFO-101191 - Commercial Law

Type Credits Grading scale Recurrence Version Examination of another type 9 Grade to a third Each term 2

Events

ST 2021 24504 Advanced Civil Law 2 SWS Lecture / 🖥 Matz ST 2021 24506 Exercises in Civil Law 2 SWS Lecture / 🖥 Dreier ST 2021 24926 Case Studies in Civil Law 2 SWS Practice / 🖥 Käde, Hägle WT 21/22 24011 Commercial and Corporate Law 2 SWS Lecture / 🗣 Wiele WT 21/22 24017 Exercises in Civil Law 2 SWS Lecture / 🧩 Dreier Exams ST 2021 7500099 Wirtschaftsprivatrecht Dreier, Matz WT 21/22 7500108 Commercial Law Dreier, Matz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 356 Module Handbook as of 30/09/2021 7 COURSES Course: Experimental Design [T-WIWI-111395]

T 7.142 Course: Experimental Design [T-WIWI-111395]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Expansion Version Examination of another type 4,5 Grade to a third Each winter term 1 terms 1

Events WT 21/22 2540603 Experimentelles Design 2 SWS Others (sons Scheibehenne, Seidler

Competence Certificate Alternative exam assessment. Details will be announced at the beginning of the course.

Annotation The course provides an overview of important methods of empirical research. Students learn basic theories and methods that are relevant in planning, conducting and evaluating experiments. They learn to analyze, critique, and independently develop experimental designs. The course covers, for example, the development of a research question, formulation of scientific hypotheses, sample selection, calculation of statistical power, the difference between correlative and causal relationships, and the relevance of experimental research to test the latter. Exemplary studies from decision research are analyzed and discussed with respect to experimental design. The workload of the course is 4.5 ECTS. This consists of exercises, smaller presentations by the students during the semester, as well as the preparation of the examination at the end of the semester. The number of participants is limited. Places are allocated via the Wiwi-Portal. Course language is German.

Industrial Engineering and Management M.Sc. 357 Module Handbook as of 30/09/2021 7 COURSES Course: Experimental Economics [T-WIWI-102614]

T 7.143 Course: Experimental Economics [T-WIWI-102614]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101446 - Market Engineering M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101505 - Experimental Economics M-WIWI-103118 - Data Science: Data-Driven User Modeling

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2540489 Experimental Economics 2 SWS Lecture Peukert, Knierim WT 21/22 2540493 Übung zu Experimentelle 1 SWS Practice Greif-Winzrieth, Wirtschaftsforschung Knierim

Competence Certificate The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulations). By successful completion of the exercises (§4 (2), 3 SPO 2007 respectively §4 (3) SPO 2015) a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4).

Prerequisites None

Below you will find excerpts from events related to this course:

Experimental Economics V Lecture (V) 2540489, WS 21/22, 2 SWS, Language: German, Open in study portal

Literature

• Strategische Spiele; S. Berninghaus, K.-M. Ehrhart, W. Güth; Springer Verlag, 2. Aufl. 2006. • Handbook of Experimental Economics; J. Kagel, A. Roth; Princeton University Press, 1995. • Experiments in Economics; J.D. Hey; Blackwell Publishers, 1991. • Experimental Economics; D.D. Davis, C.A. Holt; Princeton University Press, 1993. • Experimental Methods: A Primer for Economists; D. Friedman, S. Sunder; Cambridge University Press, 1994.

Industrial Engineering and Management M.Sc. 358 Module Handbook as of 30/09/2021 7 COURSES Course: Experimental Lab Class in Welding Technology, in Groups [T-MACH-102099]

T 7.144 Course: Experimental Lab Class in Welding Technology, in Groups [T- MACH-102099]

Responsible: Dr.-Ing. Stefan Dietrich Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Completed coursework 4 pass/fail Each winter term 2

Events

WT 21/22 2173560 Welding Lab Course, in groupes 3 SWS Practical course / 🗣 Dietrich, Schulze Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Certificate to be issued after evaluation of the lab class report.

Prerequisites Certtificate of attendance for Welding technique (The participation in the course Welding Technology I/II is assumed.).

Annotation The lab takes place at the beginning of the winter semester break once a year. The registration is possible during the lecture period in the secretariat of the Institute of Applied Materials (IAM – WK). The lab is carried out in the Handwerkskammer Karlsruhe. You need sturdy shoes and long clothes!

Below you will find excerpts from events related to this course:

Welding Lab Course, in groupes V Practical course (P) 2173560, WS 21/22, 3 SWS, Language: German, Open in study portal On-Site

Content The lab takes place at the beginning of the winter semester break once a year. The registration is possible during the lecture period in the secretariat of the Institute of Applied Materials (IAM – WK). The lab is carried out in the Handwerkskammer Karlsruhe. learning objectives:The students are capable to name a survey of current welding processes and their suitability for joining different metals. The students can evaluate the advantages and disadvantages of the individual procedures. The students have weld with different welding processes. requirements: Certificate to be issued after evaluation of the lab class report You need sturdy shoes and long clothes! workload: regular attendance: 31,5 hours preparation: 8,5 hours lab report: 80 hours

Organizational issues Praktikum findet nur statt, wenn es die Pandemie-Situation zulässt.

Literature wird im Praktikum ausgegeben

Industrial Engineering and Management M.Sc. 359 Module Handbook as of 30/09/2021 7 COURSES Course: Extraordinary additional course in the module Cross-Functional Management Accounting [T-WIWI-108651]

T 7.145 Course: Extraordinary additional course in the module Cross-Functional Management Accounting [T-WIWI-108651]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: M-WIWI-101510 - Cross-Functional Management Accounting

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each term 1

Competence Certificate The assessment depends on which extraordinary course becomes part of the module "Cross-Functional Management Accounting". .

Prerequisites None

Annotation The pupose of this placeholder is to make it possible zu include an extraordinary course in the module "Cross-Functional Management Accounting". Proposals for specific courses have to be approved in advance by the module coordinator.

Industrial Engineering and Management M.Sc. 360 Module Handbook as of 30/09/2021 7 COURSES Course: Fabrication Processes in Microsystem Technology [T-MACH-102166]

T 7.146 Course: Fabrication Processes in Microsystem Technology [T-MACH-102166]

Responsible: Dr. Klaus Bade Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each term 1

Events

ST 2021 2143882 Fabrication Processes in 2 SWS Lecture / 🖥 Bade Microsystem Technology WT 21/22 2143882 Fabrication Processes in 2 SWS Lecture / 🧩 Bade Microsystem Technology Exams ST 2021 76-T-MACH-102166 Fabrication Processes in Microsystem Technology Bade

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination, 20 minutes

Prerequisites none

Below you will find excerpts from events related to this course:

Fabrication Processes in Microsystem Technology V Lecture (V) 2143882, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The lecture offers an advanced understanding of manufacturing processes in microsystem technology. Basic aspects of microtechnological processing will be introduced. With examples from semiconductor microfabrication and microsystem technology the base processing steps for conditioning and finishing, patterning, removal are imparted. Nano-patterning is covered is also included and the micro-nano interface is discussed. By the help of typical processing steps elementary mechanisms, process execution, and equipment are explained. Additionally quality control, process control and environmental topics are included

Literature M. Madou Fundamentals of Microfabrication CRC Press, Boca Raton, 1997 W. Menz, J. Mohr, O. Paul Mikrosystemtechnik für Ingenieure Dritte Auflage, Wiley-VCH, Weinheim 2005 L.F. Thompson, C.G. Willson, A.J. Bowden Introduction to Microlithography 2nd Edition, ACS, Washington DC, 1994

Fabrication Processes in Microsystem Technology V Lecture (V) 2143882, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 361 Module Handbook as of 30/09/2021 7 COURSES Course: Fabrication Processes in Microsystem Technology [T-MACH-102166]

Literature M. Madou Fundamentals of Microfabrication CRC Press, Boca Raton, 1997 W. Menz, J. Mohr, O. Paul Mikrosystemtechnik für Ingenieure Dritte Auflage, Wiley-VCH, Weinheim 2005 L.F. Thompson, C.G. Willson, A.J. Bowden Introduction to Microlithography 2nd Edition, ACS, Washington DC, 1994

Industrial Engineering and Management M.Sc. 362 Module Handbook as of 30/09/2021 7 COURSES Course: Facility and Real Estate Management II [T-BGU-111212]

T 7.147 Course: Facility and Real Estate Management II [T-BGU-111212]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-105592 - Digitalization in Facility Management M-BGU-105597 - Facility Management in Hospitals

Type Credits Grading scale Recurrence Expansion Version Oral examination 1,5 Grade to a third Each term 1 terms 1

Events

ST 2021 6242804 Facility- und 1 SWS Lecture / 🖥 Lennerts Immobilienmanagement 2

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, appr. 20 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 363 Module Handbook as of 30/09/2021 7 COURSES Course: Facility Management in Hospitals [T-BGU-108004]

T 7.148 Course: Facility Management in Hospitals [T-BGU-108004]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-105597 - Facility Management in Hospitals

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 1

Events WT 21/22 6200003 Facility Management in Hospitals 3 SWS Lecture / Practice ( / Lennerts, Mitarbeiter/ 🗣 innen Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate term paper appr. 10 pages, with final presentation appr. 10 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 364 Module Handbook as of 30/09/2021 7 COURSES Course: Failure of Structural Materials: Deformation and Fracture [T-MACH-102140]

T 7.149 Course: Failure of Structural Materials: Deformation and Fracture [T- MACH-102140]

Responsible: Prof. Dr. Peter Gumbsch Dr. Daniel Weygand Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2181711 Failure of structural materials: 3 SWS Lecture / Practice ( / Gumbsch, Weygand deformation and fracture 🗣 Exams ST 2021 76-T-MACH-102140 Failure of Structural Materials: Deformation and Fracture Weygand, Gumbsch WT 21/22 76-T-MACH-102140 Failure of Structural Materials: Deformation and Fracture Weygand, Gumbsch, Kraft

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam ca. 30 minutes no tools or reference materials

Prerequisites none

Recommendation preliminary knowlegde in mathematics, mechanics and materials science

Below you will find excerpts from events related to this course:

Failure of structural materials: deformation and fracture V Lecture / Practice (VÜ) 2181711, WS 21/22, 3 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 365 Module Handbook as of 30/09/2021 7 COURSES Course: Failure of Structural Materials: Deformation and Fracture [T-MACH-102140]

Content

1. Introduction 2. linear elasticity 3. classification of stresses 4. Failure due to plasticity ◦ tensile test ◦ dislocations ◦ hardening mechanisms ◦ guidelines for dimensioning 5. composite materials 6. fracture mechanics ◦ hypotheses for failure ◦ linear elasic fracture mechanics ◦ crack resitance ◦ experimental measurement of fracture toughness ◦ defect measurement ◦ crack propagation ◦ application of fracture mechanics ◦ atomistics of fracture

The student

• has the basic understanding of mechanical processes to explain the relationship between externally applied load and materials strength. • can explain the foundation of linear elastic fracture mechanics and is able to determine if this concept can be applied to a failure by fracture. • can decribe the main empirical materials models for deformation and fracture and can apply them. • has the physical understanding to describe and explain phenomena of failure. preliminary knowlegde in mathematics, mechanics and materials science recommended regular attendance: 22,5 hours self-study: 97,5 hours The assessment consists of an oral examination (ca. 30 min) according to Section 4(2), 2 of the examination regulation.

Organizational issues Übungstermine werden in der Vorlesung bekannt gegeben! nach aktuellem Stand Präsenz

Literature

• Engineering Materials, M. Ashby and D.R. Jones (2nd Edition, Butterworth-Heinemann, Oxford, 1998); sehr lesenswert, relativ einfach aber dennoch umfassend, verständlich • Mechanical Behavior of Materials, Thomas H. Courtney (2nd Edition, McGraw Hill, Singapur); Klassiker zu den mechanischen Eigenschaften der Werkstoffe, umfangreich, gut • Bruchvorgänge in metallischen Werkstoffen, D. Aurich (Werkstofftechnische Verlagsgesellschaft Karlsruhe), relativ einfach aber dennoch umfassender Überblick für metallische Werkstoffe

Industrial Engineering and Management M.Sc. 366 Module Handbook as of 30/09/2021 7 COURSES Course: Failure of Structural Materials: Fatigue and Creep [T-MACH-102139]

T 7.150 Course: Failure of Structural Materials: Fatigue and Creep [T-MACH-102139]

Responsible: Dr. Patric Gruber Prof. Dr. Peter Gumbsch Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2181715 Failure of Structural Materials: 2 SWS Lecture / 🧩 Gruber, Gumbsch Fatigue and Creep Exams ST 2021 76-T-MACH-102139 Failure of Structural Materials: Fatigue and Creep Gruber, Gumbsch WT 21/22 76-T-MACH-102139 Failure of Structural Materials: Fatigue and Creep Kraft, Gumbsch, Gruber

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam ca. 30 minutes no tools or reference materials

Prerequisites none

Recommendation preliminary knowlegde in mathematics, mechanics and materials science

Below you will find excerpts from events related to this course:

Failure of Structural Materials: Fatigue and Creep V Lecture (V) 2181715, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 367 Module Handbook as of 30/09/2021 7 COURSES Course: Failure of Structural Materials: Fatigue and Creep [T-MACH-102139]

Content 1 Fatigue 1.1 Introduction 1.2 Lifetime 1.3 Fatigue Mechanisms 1.4 Material Selection 1.5 Notches and Shape Optimization 1.6 Case Studies: ICE-Accidents

2 Creep 2.1 Introduction 2.2 High Temperature Plasticity 2.3 Phänomenological DEsciption of Creep 2.4 Creep Mechanisms 2.5 Alloying Effects The student

• has the basic understanding of mechanical processes to explain the relationships between externally applied load and materials strength. • can describe the main empirical materials models for fatigue and creep and can apply them. • has the physical understanding to describe and explain phenomena of failure. • can use statistical approaches for reliability predictions. • can use its acquired skills, to select and develop materials for specific applications. preliminary knowlegde in mathematics, mechanics and materials science recommended regular attendance: 22,5 hours self-study: 97,5 hours The assessment consists of an oral examination (ca. 30 min) according to Section 4(2), 2 of the examination regulation.

Literature

• Engineering Materials, M. Ashby and D.R. Jones (2nd Edition, Butterworth-Heinemann, Oxford, 1998); sehr lesenswert, relativ einfach aber dennoch umfassend, verständlich • Mechanical Behavior of Materials, Thomas H. Courtney (2nd Edition, McGraw Hill, Singapur); Klassiker zu den mechanischen Eigenschaften der Werkstoffe, umfangreich, gut • Bruchvorgänge in metallischen Werkstoffen, D. Aurich (Werkstofftechnische Verlagsgesellschaft Karlsruhe), relativ einfach aber dennoch umfassender Überblick für metallische Werkstoffe • Fatigue of Materials, Subra Suresh (2nd Edition, Cambridge University Press); Standardwerk über Ermüdung, alle Materialklassen, umfangreich, für Einsteiger und Fortgeschrittene

Industrial Engineering and Management M.Sc. 368 Module Handbook as of 30/09/2021 7 COURSES Course: Financial Analysis [T-WIWI-102900]

T 7.151 Course: Financial Analysis [T-WIWI-102900]

Responsible: Dr. Torsten Luedecke Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2530205 Financial Analysis 2 SWS Lecture / 🖥 Luedecke ST 2021 2530206 Übungen zu Financial Analysis 2 SWS Practice / 🖥 Luedecke Exams ST 2021 7900075 Financial Analysis Luedecke WT 21/22 7900059 Financial Analysis Ruckes, Luedecke

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate See German version.

Prerequisites None

Recommendation Basic knowledge in corporate finance, accounting, and valuation is required.

Below you will find excerpts from events related to this course:

Financial Analysis V Lecture (V) 2530205, SS 2021, 2 SWS, Language: English, Open in study portal Online

Literature

• Alexander, D. and C. Nobes (2017): Financial Accounting – An International Introduction, 6th ed., Pearson. • Penman, S.H. (2013): Financial Statement Analysis and Security Valuation, 5th ed., McGraw Hill.

Industrial Engineering and Management M.Sc. 369 Module Handbook as of 30/09/2021 7 COURSES Course: Financial Econometrics [T-WIWI-103064]

T 7.152 Course: Financial Econometrics [T-WIWI-103064]

Responsible: Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 2

Competence Certificate The assessment consists of a written exam (90 minutes) (following §4(2), 1 of the examination regulation).

Prerequisites None

Recommendation Knowledge of the contents covered by the course "Economics III: Introduction in Econometrics"[2520016]

Annotation The course takes place each second summer term: 2018/2020....

Industrial Engineering and Management M.Sc. 370 Module Handbook as of 30/09/2021 7 COURSES Course: Financial Econometrics II [T-WIWI-110939]

T 7.153 Course: Financial Econometrics II [T-WIWI-110939]

Responsible: Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third see Annotations 2

Competence Certificate Alternative exam assessment (Takehome Exam). Details will be announced at the beginning of the course.

Prerequisites None

Recommendation Knowledge of the contents covered by the course "Financial Econometrics"

Annotation Course language is English The course takes place each second winter term starting in WS2020/21

Industrial Engineering and Management M.Sc. 371 Module Handbook as of 30/09/2021 7 COURSES Course: Financial Intermediation [T-WIWI-102623]

T 7.154 Course: Financial Intermediation [T-WIWI-102623]

Responsible: Prof. Dr. Martin Ruckes Organisation: KIT Department of Economics and Management Part of: M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2 M-WIWI-101502 - Economic Theory and its Application in Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2530232 Financial Intermediation 2 SWS Lecture Ruckes WT 21/22 2530233 Übung zu Finanzintermediation 1 SWS Practice Ruckes, Benz Exams ST 2021 7900078 Financial Intermediation Ruckes WT 21/22 7900063 Financial Intermediation Ruckes

Competence Certificate The assessment of this course is a written examination (following §4(2), 1 SPO) of 60 mins. The exam is offered each semester.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Financial Intermediation V Lecture (V) 2530232, WS 21/22, 2 SWS, Language: German, Open in study portal

Literature Weiterführende Literatur:

• Hartmann-Wendels/Pfingsten/Weber (2014): Bankbetriebslehre, 6. Auflage, Springer Verlag. • Freixas/Rochet (2008): Microeconomics of Banking, 2. Auflage, MIT Press.

Industrial Engineering and Management M.Sc. 372 Module Handbook as of 30/09/2021 7 COURSES Course: Firm creation in IT security [T-WIWI-110374]

T 7.155 Course: Firm creation in IT security [T-WIWI-110374]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon)

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate Alternative exam assessment. The grade consists of the presentation and the written elaboration.

Prerequisites None

Industrial Engineering and Management M.Sc. 373 Module Handbook as of 30/09/2021 7 COURSES Course: Fixed Income Securities [T-WIWI-102644]

T 7.156 Course: Fixed Income Securities [T-WIWI-102644]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 1

Competence Certificate The examination is offered for first-time writers for the last time in the winter semester 2020/21 and (only) for repeaters in the summer semester 2021. The assessment takes place in the form of a written examination (75 minutes) according to §4(2), 1 SPO. The examination takes place during the semester break. The examination is offered every semester and can be repeated at any regular examination date. A bonus can be acquired through successful participation in the excercises. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by up to one grade level (0.3 or 0.4). Details will be announced in the lecture.

Prerequisites None

Recommendation Knowledge from the course "Derivatives" is very helpful.

Annotation The course will no longer be offered from winter semester 2020/21.

Industrial Engineering and Management M.Sc. 374 Module Handbook as of 30/09/2021 7 COURSES Course: Fluid Power Systems [T-MACH-102093]

T 7.157 Course: Fluid Power Systems [T-MACH-102093]

Responsible: Prof. Dr.-Ing. Marcus Geimer Felix Pult Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Written examination 5 Grade to a third Each winter term 2

Events WT 21/22 2114093 Fluid Technology 2 SWS Lecture / 🧩 Geimer, Metzger Exams ST 2021 76-T-MACH-102093 Fluid Power Systems Geimer WT 21/22 76T-MACH-102093 Fluid Power Systems Geimer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a writen exam (90 minutes) taking place in the recess period. The exam takes place in every semester. Re-examinations are offered at every ordinary examination date.

Prerequisites none

Below you will find excerpts from events related to this course:

Fluid Technology V Lecture (V) 2114093, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content In the range of hydrostatics the following topics will be introduced:

• Hydraulic fluids • Pumps and motors • Valves • Accessories • Hydraulic circuits.

In the range of pneumatics the following topics will be introduced:

• Compressors • Motors • Valves • Pneumatic circuits.

• regular attendance: 21 hours • self-study: 92 hours

Literature Skriptum zur Vorlesung Fluidtechnik Institut für Fahrzeugsystemtechnik downloadbar

Industrial Engineering and Management M.Sc. 375 Module Handbook as of 30/09/2021 7 COURSES Course: Food Chemistry Basics [T-CHEMBIO-109442]

T 7.158 Course: Food Chemistry Basics [T-CHEMBIO-109442]

Responsible: Prof. Dr. Mirko Bunzel Organisation: KIT Department of Chemistry and Biosciences Part of: M-CIWVT-101119 - Specialization in Food Process Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 2

Events

ST 2021 6601 Grundlagen der 2 SWS Lecture / 🖥 Bunzel Lebensmittelchemie I Exams ST 2021 71109442 Food Chemistry Basics Bunzel WT 21/22 71109442 Food Chemistry Basics Bunzel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Industrial Engineering and Management M.Sc. 376 Module Handbook as of 30/09/2021 7 COURSES Course: Food Science and Functionality [T-CIWVT-111535]

T 7.159 Course: Food Science and Functionality [T-CIWVT-111535]

Responsible: Prof. Dr. Bernhard Watzl Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101119 - Specialization in Food Process Engineering M-CIWVT-101120 - Principles of Food Process Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 22207 Lebensmittelkunde und 2 SWS Lecture Watzl -funktionalität

Competence Certificate The examination is an oral examination with a duration of about 30 minutes (section 4 subsection 2 number 2 SPO).

Prerequisites None

Industrial Engineering and Management M.Sc. 377 Module Handbook as of 30/09/2021 7 COURSES Course: Foundry Technology [T-MACH-105157]

T 7.160 Course: Foundry Technology [T-MACH-105157]

Responsible: Dr.-Ing. Christian Wilhelm Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 2

Events ST 2021 2174575 Foundry Technology 2 SWS Lecture / 🧩 Wilhelm Exams ST 2021 76-T-MACH-105157 Foundry Technology Wilhelm

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam; about 25 minutes

Prerequisites None

Recommendation It is strongly recommended to pass the two courses "Materials Science I" (T-MACH-102078) and "Materials Science II" (T- MACH-102079).

Below you will find excerpts from events related to this course:

Foundry Technology V Lecture (V) 2174575, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 378 Module Handbook as of 30/09/2021 7 COURSES Course: Foundry Technology [T-MACH-105157]

Content Moulding and casting processes Solidifying of melts Castability Fe-Alloys Non-Fe-Alloys Moulding and additive materials Core production Sand reclamation Design in casting technology Casting simulation Foundry Processes learning objectives: The students know the specific moulding and casting techniques and are able to describe them in detail. The students know the application of moulding and casting techniques concerning castings and metals, their advantages and disadvantages in comparison, their application limits and are able to describe these in detail. The students know the applied metals and are able to describe advantages and disadvantages as well as the specific range of use. The students are able, to describe detailled mould and core materials, technologies, their application focus and mould-affected casting defects. The students know the basics of casting process of any casting parts concerning the above mentioned criteria and are able to describe detailled. requirements: Required: Material Science and Engineering I and II workload: The workload for the lecture Foundry Technology is 120 h per semester and consists of the presence during the lecture (21 h) as well as preparation and rework time at home (99 h).

Organizational issues Vorlesungstermine: 23.4., 30.4., 7.5., 21.5., 11.6., 18.6., 2.7., 16.7.

Literature Literaturhinweise werden in der Vorlesung gegeben Reference to literature, documentation and partial lecture notes given in lecture

Industrial Engineering and Management M.Sc. 379 Module Handbook as of 30/09/2021 7 COURSES Course: Freight Transport [T-BGU-106611]

T 7.161 Course: Freight Transport [T-BGU-106611]

Responsible: Bastian Chlond Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each term 2

Events ST 2021 6232809 Güterverkehr 2 SWS Lecture / Practice ( / Chlond 🖥 Exams ST 2021 8245106611 Freight Transport Chlond

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 60 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 380 Module Handbook as of 30/09/2021 7 COURSES Course: Fuels and Lubricants for Combustion Engines [T-MACH-105184]

T 7.162 Course: Fuels and Lubricants for Combustion Engines [T-MACH-105184]

Responsible: Hon.-Prof. Dr. Bernhard Ulrich Kehrwald Dr.-Ing. Heiko Kubach Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events

WT 21/22 2133108 Fuels and Lubricants for 2 SWS Lecture / 🗣 Kehrwald Combustion Engines Exams ST 2021 76-T-MACH-105184 Fuels and Lubricants for Combustion Engines Kehrwald WT 21/22 76-T-MACH-105184 Fuels and Lubricants for Combustion Engines Kehrwald

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination, Duration: ca. 25 min., no auxiliary means

Prerequisites none

Below you will find excerpts from events related to this course:

Fuels and Lubricants for Combustion Engines V Lecture (V) 2133108, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content Introduction and basics

Fuels for Gasoline and Diesel engines

Hydrogen

Lubricants for Gasoline and Diesel engines

Coolants for combustion engines

Literature Skript

Industrial Engineering and Management M.Sc. 381 Module Handbook as of 30/09/2021 7 COURSES Course: Functional Ceramics [T-MACH-105179]

T 7.163 Course: Functional Ceramics [T-MACH-105179]

Responsible: Dr. Manuel Hinterstein Dr.-Ing. Wolfgang Rheinheimer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2126784 Functional Ceramics 2 SWS Lecture / 🧩 Hinterstein Exams ST 2021 76-T-MACH-105179 Functional Ceramics Hinterstein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min) taking place at the agreed date. Auxiliary means: none The re-examination is offered upon agreement.

Prerequisites none

Industrial Engineering and Management M.Sc. 382 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals for Design of Motor-Vehicle Bodies I [T-MACH-102116]

T 7.164 Course: Fundamentals for Design of Motor-Vehicle Bodies I [T-MACH-102116]

Responsible: Dipl.-Ing. Horst Dietmar Bardehle Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Oral examination 1,5 Grade to a third Each winter term 1

Events

WT 21/22 2113814 Fundamentals for Design of 1 SWS Lecture / 🗣 Bardehle Motor-Vehicles Bodies I Exams ST 2021 76-T-MACH-102116 Fundamentals for Design of Motor-Vehicle Bodies I Bardehle, Unrau WT 21/22 76-T-MACH-102116 Fundamentals for Design of Motor-Vehicle Bodies I Unrau, Bardehle

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral group examination

Duration: 30 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Fundamentals for Design of Motor-Vehicles Bodies I V Lecture (V) 2113814, WS 21/22, 1 SWS, Language: German, Open in study portal On-Site

Content 1. History and design

2. Aerodynamics

3. Design methods (CAD/CAM, FEM)

4. Manufacturing methods of body parts

5. Fastening technologie

6. Body in white / body production, body surface Learning Objectives: The students have an overview of the fundamental possibilities for design and manufacture of motor-vehicle bodies. They know the complete process, from the first idea, through the concept to the dimensioned drawings (e.g. with FE-methods). They have knowledge about the fundamentals and their correlations, to be able to analyze and to judge relating components as well as to develop them accordingly.

Organizational issues Termine, nähere Informationen und eventuelle Terminänderungen: siehe Institutshomepage Dates and further information will be published on the homepage of the institute

Industrial Engineering and Management M.Sc. 383 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals for Design of Motor-Vehicle Bodies I [T-MACH-102116]

Literature 1. Automobiltechnische Zeitschrift ATZ, Friedr. Vieweg & Sohn Verlagsges. mbH, Wiesbaden 2. Automobil Revue, Bern (Schweiz) 3. Automobil Produktion, Verlag Moderne Industrie, Landsberg

Industrial Engineering and Management M.Sc. 384 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals for Design of Motor-Vehicle Bodies II [T-MACH-102119]

T 7.165 Course: Fundamentals for Design of Motor-Vehicle Bodies II [T-MACH-102119]

Responsible: Dipl.-Ing. Horst Dietmar Bardehle Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Oral examination 1,5 Grade to a third Each summer term 1

Events

ST 2021 2114840 Fundamentals for Design of 1 SWS Lecture / 🖥 Bardehle Motor-Vehicles Bodies II Exams ST 2021 76-T-MACH-102119 Fundamentals for Design of Motor-Vehicle Bodies II Bardehle, Gauterin WT 21/22 76-T-MACH-102119 Fundamentals for Design of Motor-Vehicle Bodies II Bardehle

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral group examination

Duration: 30 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Fundamentals for Design of Motor-Vehicles Bodies II V Lecture (V) 2114840, SS 2021, 1 SWS, Language: German, Open in study portal Online

Content 1. Body properties/testing procedures 2. External body-parts 3. Interior trim 4. Compartment air conditioning 5. Electric and electronic features 6. Crash tests 7. Project management aspects, future prospects Learning Objectives: The students know that, often the design of seemingly simple detail components can result in the solution of complex problems. They have knowledge in testing procedures of body properties. They have an overview of body parts such as bumpers, window lift mechanism and seats. They understand, as well as, parallel to the normal electrical system, about the electronic side of a motor vehicle. Based on this they are ready to analyze and to judge the relation of these single components. They are also able to contribute competently to complex development tasks by imparted knowledge in project management.

Organizational issues Voraussichtliche Termine, nähere Informationen und evtl. Änderungen: siehe Institutshomepage. Scheduled dates, further Information and possible changes of date: see homepage of the institute.

Industrial Engineering and Management M.Sc. 385 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals for Design of Motor-Vehicle Bodies II [T-MACH-102119]

Literature 1. Automobiltechnische Zeitschrift ATZ, Friedr. Vieweg & Sohn Verlagsges. mbH, Wiesbaden 2. Automobil Revue, Bern (Schweiz) 3. Automobil Produktion, Verlag Moderne Industrie, Landsberg

Industrial Engineering and Management M.Sc. 386 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals in the Development of Commercial Vehicles [T-MACH-111389]

T 7.166 Course: Fundamentals in the Development of Commercial Vehicles [T- MACH-111389]

Responsible: Dr. Christof Weber Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Expansion Version Oral examination 3 Grade to a third see Annotations 2 terms 2

Events

ST 2021 2114844 Fundamentals in the Development 1 SWS Lecture / 🖥 Weber of Commercial Vehicles II

WT 21/22 2113812 Fundamentals in the Development 1 SWS Lecture / 🖥 Weber of Commercial Vehicles I Exams WT 21/22 7600004 Fundamentals in the Development of Commercial Vehicles Weber

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral group examination Duration: appr. 30 minutes Auxiliary means: none

Prerequisites none

Annotation Fundamentals in the Development of Commercial Vehicles I, WT Fundamentals in the Development of Commercial Vehicles II, ST

Below you will find excerpts from events related to this course:

Fundamentals in the Development of Commercial Vehicles II V Lecture (V) 2114844, SS 2021, 1 SWS, Language: German, Open in study portal Online

Content 1. Gear boxes of commercial vehicles 2. Intermediate elements of the drive train 3. Axle systems 4. Front axles and driving dynamics 5. Chassis and axle suspension 6. Braking System 7. Systems 8. Excursion Learning Objectives: The students know the advantages and disadvantages of different drives. Furthermore they are familiar with components, such as transfer box, propeller shaft, powered and non-powered frontaxle etc. Beside other mechanical components, such as chassis, axle suspension and braking system, also electric and electronic systems are known. Consequently the student are able to analyze and to judge the general concepts as well as to adjust them precisely with the area of application.

Organizational issues Genaue Termine, nähere Informationen und eventuelle Terminänderungen: siehe Institutshomepage.

Industrial Engineering and Management M.Sc. 387 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals in the Development of Commercial Vehicles [T-MACH-111389]

Literature 1.HILGERS, M.: Nutzfahrzeugtechnik lernen, Springer Vieweg, ISSN: 2510-1803 2.SCHITTLER, M.; HEINRICH, R.; KERSCHBAUM, W.: Mercedes-Benz Baureihe 500 – neue V-Motorengeneration für schwere Nutzfahrzeuge, MTZ 57 Nr. 9, S. 460 ff, 1996 3.Robert Bosch GmbH (Hrsg.): Bremsanalgen für Kraftfahrzeuge, VDI-Verlag, Düsseldorf, 1. Auflage, 1994 4.RUBI, V.; STRIFLER, P. (Hrsg. Institut für Kraftfahrwesen RWTH Aachen): Indiustrielle Nutzfahrzeugentwicklung, Schriftenreihe Automobiltechnik, 1993 5.TEUTSCH, R.; CHERUTI, R.; GASSER, R.; PEREIRA, M.; de SOUZA, A.; WEBER, C.: Fuel Efficiency Optimization of Market Specific Truck Applications, Proceedings of the 5th Commercial Vehicle Technology Symposium – CVT 2018

Fundamentals in the Development of Commercial Vehicles I V Lecture (V) 2113812, WS 21/22, 1 SWS, Language: German, Open in study portal Online

Content 1. Introduction, definitions, history 2. Development tools 3. Complete vehicle 4. Cab, bodyshell work 5. Cab, interior fitting 6. Alternative drive systems 7. Drive train 8. Drive system diesel engine 9. Intercooled diesel engines Learning Objectives: The students have proper knowledge about the process of commercial vehicle development starting from the concept and the underlying original idea to the real design. They know that the customer requirements, the technical realisability, the functionality and the economy are important drivers. The students are able to develop parts and components. Furthermore they have knowledge about different cab concepts, the interior and the interior design process. Consequently they are ready to analyze and to judge concepts of commercial vehicles as well as to participate competently in the commercial vehicle development.

Organizational issues Termine und Nähere Informationen: siehe Institutshomepage Dates and further information will be published on the homepage of the institute.

Literature 1. Marwitz, H., Zittel, S.: ACTROS -- die neue schwere Lastwagenbaureihe von Mercedes-Benz, ATZ 98, 1996, Nr. 9

2. Alber, P., McKellip, S.: ACTROS -- Optimierte passive Sicherheit, ATZ 98, 1996

3. Morschheuser, K.: Airbag im Rahmenfahrzeug, ATZ 97, 1995, S. 450 ff.

Industrial Engineering and Management M.Sc. 388 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals of Automobile Development I [T-MACH-105162]

T 7.167 Course: Fundamentals of Automobile Development I [T-MACH-105162]

Responsible: Hon.-Prof. Rolf Frech Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Version Written examination 1,5 Grade to a third Each winter term 1

Events

WT 21/22 2113810 Fundamentals of Automobile 1 SWS Lecture / 🖥 Frech Development I

WT 21/22 2113851 Principles of Whole Vehicle 1 SWS Lecture / 🖥 Frech Engineering I Exams ST 2021 76-T-MACH-105162 Fundamentals of Automobile Development I Frech, Unrau WT 21/22 76-T-MACH-105162 Fundamentals of Automobile Development I Frech, Unrau

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written examination

Duration: 90 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Fundamentals of Automobile Development I V Lecture (V) 2113810, WS 21/22, 1 SWS, Language: German, Open in study portal Online

Content 1. Process of automobile development 2. Conceptual dimensioning and design of an automobile 3. Laws and regulations – National and international boundary conditions 4. Aero dynamical dimensioning and design of an automobile I 5. Aero dynamical dimensioning and design of an automobile II 6. Thermo-management in the conflict of objectives between styling, aerodynamic and packaging guidelines I 7. Thermo-management in the conflict of objectives between styling, aerodynamic and packaging guidelines II Learning Objecitves: The students have an overview of the fundamentals of the development of automobiles. They know the development process, the national and the international legal requirements that are to be met. They have knowledge about the thermo-management, aerodynamics and the design of an automobile. They are ready to judge goal conflicts in the field of automobile development and to work out approaches to solving a problem.

Organizational issues Termine und nähere Informationen finden Sie auf der Institutshomepage. Kann nicht mit Lehrveranstaltung 2113851 kombiniert werden. Date and further information will be published on the homepage of the institute. Cannot be combined with lecture 2113851.

Industrial Engineering and Management M.Sc. 389 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals of Automobile Development I [T-MACH-105162]

Literature Skript zur Vorlesung wird zu Beginn des Semesters ausgegeben The scriptum will be provided during the first lessons

Principles of Whole Vehicle Engineering I V Lecture (V) 2113851, WS 21/22, 1 SWS, Language: English, Open in study portal Online

Content 1. Process of automobile development 2. Conceptual dimensioning and design of an automobile 3. Laws and regulations – National and international boundary conditions 4. Aero dynamical dimensioning and design of an automobile I 5. Aero dynamical dimensioning and design of an automobile II 6. Thermo-management in the conflict of objectives between styling, aerodynamic and packaging guidelines I 7. Thermo-management in the conflict of objectives between styling, aerodynamic and packaging guidelines II Learning Objectives: The students have an overview of the fundamentals of the development of automobiles. They know the development process, the national and the international legal requirements that are to be met. They have knowledge about the thermo-management, aerodynamics and the design of an automobile. They are ready to judge goal conflicts in the field of automobile development and to work out approaches to solving a problem.

Organizational issues Termine und nähere Informationen finden Sie auf der Institutshomepage. Dats and further information will be published on the homepage of the institute. Kann nicht mit Lehrveranstaltung 2113810 kombiniert werden Cannot be combined with lecture 2113810.

Literature Skript zur Vorlesung wird zu Beginn des Semesters ausgegeben The scriptum will be provided during the first lessons

Industrial Engineering and Management M.Sc. 390 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals of Automobile Development II [T-MACH-105163]

T 7.168 Course: Fundamentals of Automobile Development II [T-MACH-105163]

Responsible: Hon.-Prof. Rolf Frech Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Version Written examination 1,5 Grade to a third Each summer term 2

Events

ST 2021 2114842 Fundamentals of Automobile 1 SWS Block / 🖥 Frech Development II

ST 2021 2114860 Principles of Whole Vehicle 1 SWS / 🖥 Frech Engineering II Exams ST 2021 76-T-MACH-105163 Fundamentals of Automobile Development II Frech, Unrau WT 21/22 76-T-MACH-105163 Fundamentals of Automobile Development II Unrau, Frech

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written examination

Duration: 90 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Fundamentals of Automobile Development II V Block (B) 2114842, SS 2021, 1 SWS, Language: German, Open in study portal Online

Content 1. Application-oriented material and production technology I 2. Application-oriented material and production technology II 3. Overall vehicle acoustics in the automobile development 4. Drive train acoustics in the automobile development 5. Testing of the complete vehicle 6. Properties of the complete automobile Learning Objectives: The students are familiar with the selection of appropriate materials and the choice of adequate production technology. They have knowledge of the acoustical properties of the automobiles, covering both the interior sound and exterior noise. They have an overview of the testing procedures of the automobiles. They know in detail the evaluation of the properties of the complete automobile. They are ready to participate competently in the development process of the complete vehicle.

Organizational issues Vorlesung findet als Blockvorlesung statt. Kann nicht mit der Veranstaltung [2114860] kombiniert werden. Cannot be combined with lecture [2114860].

Literature Skript zur Vorlesung ist über ILIAS verfügbar.

Industrial Engineering and Management M.Sc. 391 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals of Automobile Development II [T-MACH-105163]

Principles of Whole Vehicle Engineering II V 2114860, SS 2021, 1 SWS, Language: English, Open in study portal Online

Content 1. Application-oriented material and production technology I 2. Application-oriented material and production technology II 3. Overall vehicle acoustics in the automobile development 4. Drive train acoustics in the automobile development 5. Testing of the complete vehicle 6. Properties of the complete automobile Learning Objectives: The students are familiar with the selection of appropriate materials and the choice of adequate production technology. They have knowledge of the acoustical properties of the automobiles, covering both the interior sound and exterior noise. They have an overview of the testing procedures of the automobiles. They know in detail the evaluation of the properties of the complete automobile. They are ready to participate competently in the development process of the complete vehicle.

Organizational issues Kann nicht mit der Veranstaltung [2114842] kombiniert werden. Cannot be combined with lecture [2114842]. Raum 219, Geb. 70.04, Campus Ost. Genaue Termine entnehmen Sie bitte der Institushomepage. Scheduled dates: see homepage of the institute.

Literature Das Skript zur Vorlesung ist über ILIAS verfügbar.

Industrial Engineering and Management M.Sc. 392 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals of Catalytic Exhaust Gas Aftertreatment [T-MACH-105044]

T 7.169 Course: Fundamentals of Catalytic Exhaust Gas Aftertreatment [T- MACH-105044]

Responsible: Prof. Dr. Olaf Deutschmann Prof. Dr. Jan-Dierk Grunwaldt Dr.-Ing. Heiko Kubach Hon.-Prof. Dr. Egbert Lox Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events ST 2021 2134138 Fundamentals of catalytic 2 SWS Lecture / 🧩 Lox, Grunwaldt, exhaust gas aftertreatment Deutschmann Exams ST 2021 76-T-MACH-105044 Fundamentals of Catalytic Exhaust Gas Aftertreatment Lox WT 21/22 76-T-MACH-105044 Fundamentals of Catalytic Exhaust Gas Aftertreatment Lox

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination, Duration: 25 min., no auxiliary means

Prerequisites none

Below you will find excerpts from events related to this course:

Fundamentals of catalytic exhaust gas aftertreatment V Lecture (V) 2134138, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Organizational issues Blockvorlesung, Termin und Ort werden auf der Homepage des IFKM und ITCP bekannt gegeben.

Literature Skript, erhältlich in der Vorlesung

1. ''Environmental Catalysis'' Edited by G.Ertl, H. Knötzinger, J. Weitkamp Wiley-VCH Verlag GmbH, Weinheim, 1999 ISBN 3-527-29827-4 2. ''Cleaner Cars- the history and technology of emission control since the 1960s'' J. R. Mondt Society of Automotive Engineers, Inc., USA, 2000 Publication R-226, ISBN 0-7680-0222-2 3. ''Catalytic Air Pollution Control - commercial technology'' R. M. Heck, R. J. Farrauto John Wiley & Sons, Inc., USA, 1995 ISBN 0-471-28614-1 4. ''Automobiles and Pollution'' P. Degobert Editions Technic, Paris, 1995 ISBN 2-7108-0676-2 5. ''Reduced Emissions and Fuel Consumption in Automobile Engines'' F. Schaeder, R. van Basshuysen, Springer Verlag Wien New York, 1995 ISBN 3-211-82718-8 6. ''Autoabgaskatalysatoren : Grudlagen - Herstellung - Entwicklung - Recycling - Ökologie'' Ch. Hagelüken und 11 Mitautoren, Expert Verlag, Renningen, 2001 ISBN 3-8169-1932-4

Industrial Engineering and Management M.Sc. 393 Module Handbook as of 30/09/2021 7 COURSES Course: Fundamentals of National and International Group Taxation [T-WIWI-111304]

T 7.170 Course: Fundamentals of National and International Group Taxation [T- WIWI-111304]

Responsible: Prof. Dr. Berthold Wigger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101511 - Advanced Topics in Public Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2560133 Grundlagen der nationalen und 3 SWS Lecture / 🖥 Wigger, Gutekunst internationalen Konzernbesteuerung Exams ST 2021 790kobe Fundamentals of National and International Group Taxation Wigger WT 21/22 790kobe Fundamentals of National and International Group Taxation Wigger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on the further pandemic development the assessment will consist either of an open book exam (following Art. 4, para. 2, clause 3 of the examination regulation), or of an 1.5h written exam (following Art. 4, para. 2, clause 1 of the examination regulation).

Prerequisites None

Recommendation It is recommended to attend the course “Basics of German Company Tax Law and Tax Planning” beforehand.

Industrial Engineering and Management M.Sc. 394 Module Handbook as of 30/09/2021 7 COURSES Course: Gear Cutting Technology [T-MACH-102148]

T 7.171 Course: Gear Cutting Technology [T-MACH-102148]

Responsible: Dr.-Ing. Markus Klaiber Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development M-MACH-101284 - Specialization in Production Engineering

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2149655 Gear Technology 2 SWS Lecture / 🧩 Klaiber Exams ST 2021 76-T-MACH-102148 Gear Cutting Technology Klaiber

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Exam (20 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Gear Technology V Lecture (V) 2149655, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content Based on the gearing theory, manufacturing processes and machine technologies for producing gearings, the needs of modern gear manufacturing will be discussed in the lecture. For this purpose, various processes for various gear types are taught which represent the state of the art in practice today. A classification in soft and hard machining and furthermore in cutting and non- cutting technologies will be made. For comprehensive understanding the processes, machine technologies, tools and applications of the manufacturing of gearings will be introduced and the current developments presented. For assessment and classification of the applications and the performance of the technologies, the methods of mass production and manufacturing defects will be discussed. Sample parts, reports from current developments in the field of research and an excursion to a gear manufacturing company round out the lecture.

Learning Outcomes: The students …

• can describe the basic terms of gearings and are able to explain the imparted basics of the gearwheel and gearing theory. • are able to specify the different manufacturing processes and machine technologies for producing gearings. Furthermore they are able to explain the functional principles and the dis-/advantages of these manufacturing processes. • can apply the basics of the gearing theory and manufacturing processes on new problems. • are able to read and interpret measuring records for gearings. are able to make an appropriate selection of a process based on a given application • can describe the entire process chain for the production of toothed components and their respective influence on the resulting workpiece properties.

Workload: regular attendance: 21 hours self-study: 99 hours

Organizational issues Start: 21.10.2021

Industrial Engineering and Management M.Sc. 395 Module Handbook as of 30/09/2021 7 COURSES Course: Gear Cutting Technology [T-MACH-102148]

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt. Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 396 Module Handbook as of 30/09/2021 7 COURSES Course: Global Logistics [T-MACH-111003]

T 7.172 Course: Global Logistics [T-MACH-111003]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-101282 - Global Production and Logistics M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 1

Events ST 2021 2149600 Global Logistics 2 SWS Lecture / 🧩 Furmans Exams ST 2021 76-T-MACH-105159 Global Production and Logistics - Part 2: Global Logistics / New: Furmans Global Logistics

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The success control takes place in form of a written examination (60 min) during the semester break (according to §4(2), 1 SPO). If the number of participants is low, an oral examination (according to §4 (2), 2 SPO) may also be offered.

Prerequisites none

Below you will find excerpts from events related to this course:

Global Logistics V Lecture (V) 2149600, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 397 Module Handbook as of 30/09/2021 7 COURSES Course: Global Logistics [T-MACH-111003]

Content Content: Characteristics of global trade

• Incoterms • Customs clearance, documents and export control

Global transport and shipping

• Maritime transport, esp. container handling • Air transport

Modeling of supply chains

• SCOR model • Value stream analysis

Location planning in cross-border-networks

• Application of the Warehouse Location Problem • Transport Planning

Inventory Management in global supply chains

• Stock keeping policies • Inventory management considering lead time and shipping costs

Media: presentations, black board Workload: regular attendance: 21 hours self-study: 99 hours Students are able to:

• assign basic problems of planning and operation of global supply chains and plan them with apropriate methods, • describe requirements and characteristics of global trade and transport, and • evaluate characteristics of the design from logistic chains regarding their suitability.

Exam: The exam consists of a 60 minutes written examination (according to §4(2), 1 of the examination regulation). The main exam is offered every summer semester. A second date for the exam is offered in winter semester only for students that did not pass the main exam.

Literature Weiterführende Literatur:

• Arnold/Isermann/Kuhn/Tempelmeier. HandbuchLogistik, Springer Verlag, 2002 (Neuauflage in Arbeit) • Domschke. Logistik, Rundreisen und Touren,Oldenbourg Verlag, 1982 • Domschke/Drexl. Logistik, Standorte, OldenbourgVerlag, 1996 • Gudehus. Logistik, Springer Verlag, 2007 • Neumann-Morlock. Operations-Research,Hanser-Verlag, 1993 • Tempelmeier. Bestandsmanagement in SupplyChains, Books on Demand 2006 • Schönsleben. IntegralesLogistikmanagement, Springer, 1998

Industrial Engineering and Management M.Sc. 398 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization I [T-WIWI-102726]

T 7.173 Course: Global Optimization I [T-WIWI-102726]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2550134 Globale Optimierung I 2 SWS Lecture / 🖥 Stein Exams ST 2021 7900270_SS2021_HK Global Optimization I Stein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Success is in the form of a written examination (60 min.) (according to § 4(2), 1 SPO). The successful completion of the exercises is required for admission to the written exam. The exam is offered in the lecture of semester and the following semester. The success check can be done also with the success control for "Global optimization II". In this case, the duration of the written exam is 120 min.

Prerequisites None

Recommendation None

Annotation Part I and II of the lecture are held consecutively in the same semester.

Below you will find excerpts from events related to this course:

Globale Optimierung I V Lecture (V) 2550134, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 399 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization I [T-WIWI-102726]

Content In many optimization problems from economics, engineering and natural sciences, solution algorithms are only able to efficiently identify local optimizers, while it is much harder to find globally optimal points. This corresponds to the fact that by local search it is easy to find the summit of the closest mountain, but that the search for the summit of Mount Everest is rather elaborate. The lecture treats methods for global optimization of convex functions under convex constraints. It is structured as follows:

• Introduction, examples, and terminology • Existence results for optimal points • Optimality in convex optimization • Duality, bounds, and constraint qualifications • Algorithms (Kelley's cutting plane method, Frank-Wolfe method, primal-dual interior point methods)

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of nonconvex optimization problems forms the contents of the lecture "Global Optimization II". The lectures "Global Optimization I" and "Global Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands the fundamentals of deterministic global optimization in the convex case, • is able to choose, design and apply modern techniques of deterministic global optimization in the convex case in practice.

Literature O. Stein, Grundzüge der Globalen Optimierung, SpringerSpektrum, 2018. Weiterführende Literatur:

• W. Alt, Numerische Verfahren der konvexen, nichtglatten Optimierung, Teubner, 2004 • C.A. Floudas, Deterministic Global Optimization, Kluwer, 2000 • R. Horst, H. Tuy, Global Optimization, Springer, 1996 • A. Neumaier, Interval Methods for Systems of Equations, Cambridge University Press, 1990

Industrial Engineering and Management M.Sc. 400 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization I and II [T-WIWI-103638]

T 7.174 Course: Global Optimization I and II [T-WIWI-103638]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each summer term 1

Events

ST 2021 2550134 Globale Optimierung I 2 SWS Lecture / 🖥 Stein ST 2021 2550135 Übung zu Globale Optimierung 2 SWS Practice / 🖥 Stein, Schwarze, Beck I und II

ST 2021 2550136 Globale Optimierung II 2 SWS Lecture / 🖥 Stein Exams ST 2021 7900272_SS2021_HK Global Optimization I and II Stein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of the lecture is a written examination (120 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester.

Prerequisites None

Recommendation None

Annotation Part I and II of the lecture are held consecutively in the same semester.

Below you will find excerpts from events related to this course:

Globale Optimierung I V Lecture (V) 2550134, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 401 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization I and II [T-WIWI-103638]

Content In many optimization problems from economics, engineering and natural sciences, solution algorithms are only able to efficiently identify local optimizers, while it is much harder to find globally optimal points. This corresponds to the fact that by local search it is easy to find the summit of the closest mountain, but that the search for the summit of Mount Everest is rather elaborate. The lecture treats methods for global optimization of convex functions under convex constraints. It is structured as follows:

• Introduction, examples, and terminology • Existence results for optimal points • Optimality in convex optimization • Duality, bounds, and constraint qualifications • Algorithms (Kelley's cutting plane method, Frank-Wolfe method, primal-dual interior point methods)

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of nonconvex optimization problems forms the contents of the lecture "Global Optimization II". The lectures "Global Optimization I" and "Global Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands the fundamentals of deterministic global optimization in the convex case, • is able to choose, design and apply modern techniques of deterministic global optimization in the convex case in practice.

Literature O. Stein, Grundzüge der Globalen Optimierung, SpringerSpektrum, 2018. Weiterführende Literatur:

• W. Alt, Numerische Verfahren der konvexen, nichtglatten Optimierung, Teubner, 2004 • C.A. Floudas, Deterministic Global Optimization, Kluwer, 2000 • R. Horst, H. Tuy, Global Optimization, Springer, 1996 • A. Neumaier, Interval Methods for Systems of Equations, Cambridge University Press, 1990

Globale Optimierung II V Lecture (V) 2550136, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content In many optimization problems from economics, engineering and natural sciences, solution algorithms are only able to efficiently identify local optimizers, while it is much harder to find globally optimal points. This corresponds to the fact that by local search it is easy to find the summit of the closest mountain, but that the search for the summit of Mount Everest is rather elaborate. The lecture treats methods for global optimization of nonconvex functions under nonconvex constraints. It is structured as follows:

• Introduction and examples • Convex relaxation • Interval arithmetic • Convex relaxation via alphaBB method • Branch-and-bound methods • Lipschitz optimization

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of convex optimization problems forms the contents of the lecture "Global Optimization I". The lectures "Global Optimization I" and "Global Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands the fundamentals of deterministic global optimization in the nonconvex case, • is able to choose, design and apply modern techniques of deterministic global optimization in the nonconvex case in practice.

Industrial Engineering and Management M.Sc. 402 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization I and II [T-WIWI-103638]

Literature O. Stein, Grundzüge der Globalen Optimierung, SpringerSpektrum, 2018. Weiterführende Literatur:

• W. Alt, Numerische Verfahren der konvexen, nichtglatten Optimierung, Teubner, 2004 • C.A. Floudas, Deterministic Global Optimization, Kluwer, 2000 • R. Horst, H. Tuy, Global Optimization, Springer, 1996 • A. Neumaier, Interval Methods for Systems of Equations, Cambridge University Press, 1990

Industrial Engineering and Management M.Sc. 403 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization II [T-WIWI-102727]

T 7.175 Course: Global Optimization II [T-WIWI-102727]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2550136 Globale Optimierung II 2 SWS Lecture / 🖥 Stein Exams ST 2021 7900271_SS2021_HK Global Optimization II Stein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of the lecture is a written examination (60 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester. The examination can also be combined with the examination of "Global optimization I". In this case, the duration of the written examination takes 120 minutes.

Prerequisites None

Annotation Part I and II of the lecture are held consecutively in the same semester.

Below you will find excerpts from events related to this course:

Globale Optimierung II V Lecture (V) 2550136, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content In many optimization problems from economics, engineering and natural sciences, solution algorithms are only able to efficiently identify local optimizers, while it is much harder to find globally optimal points. This corresponds to the fact that by local search it is easy to find the summit of the closest mountain, but that the search for the summit of Mount Everest is rather elaborate. The lecture treats methods for global optimization of nonconvex functions under nonconvex constraints. It is structured as follows:

• Introduction and examples • Convex relaxation • Interval arithmetic • Convex relaxation via alphaBB method • Branch-and-bound methods • Lipschitz optimization

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of convex optimization problems forms the contents of the lecture "Global Optimization I". The lectures "Global Optimization I" and "Global Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands the fundamentals of deterministic global optimization in the nonconvex case, • is able to choose, design and apply modern techniques of deterministic global optimization in the nonconvex case in practice.

Industrial Engineering and Management M.Sc. 404 Module Handbook as of 30/09/2021 7 COURSES Course: Global Optimization II [T-WIWI-102727]

Literature O. Stein, Grundzüge der Globalen Optimierung, SpringerSpektrum, 2018. Weiterführende Literatur:

• W. Alt, Numerische Verfahren der konvexen, nichtglatten Optimierung, Teubner, 2004 • C.A. Floudas, Deterministic Global Optimization, Kluwer, 2000 • R. Horst, H. Tuy, Global Optimization, Springer, 1996 • A. Neumaier, Interval Methods for Systems of Equations, Cambridge University Press, 1990

Industrial Engineering and Management M.Sc. 405 Module Handbook as of 30/09/2021 7 COURSES Course: Global Production [T-MACH-110991]

T 7.176 Course: Global Production [T-MACH-110991]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101282 - Global Production and Logistics M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each winter term 2

Events WT 21/22 2149613 Global Production 2 SWS Lecture / 🧩 Lanza Exams ST 2021 76-T-MACH-110991 Global Production Lanza

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (60 min)

Prerequisites T-MACH-108848 - Globale Produktion und Logistik - Teil 1: Globale Produktion must not be commenced. T-MACH-105158 - Globale Produktion und Logistik - Teil 1: Globale Produktion must not be commenced. T-MACH-110337 - Globale Produktion und Logistik must not be commenced.

Recommendation Participation in "T-MACH-110981 - Tutorial Global Production" is recommended, but not mandatory.

Below you will find excerpts from events related to this course:

Global Production V Lecture (V) 2149613, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 406 Module Handbook as of 30/09/2021 7 COURSES Course: Global Production [T-MACH-110991]

Content The lecture examines the management of global production networks of manufacturing companies. It gives an overview of the influencing factors and challenges of global production. In-depth knowledge of common methods and procedures for planning, designing and managing global production networks is imparted. Therefore, the lecture first of all discusses the connections and interdependencies between the business strategy and the production strategy and illustrates necessary tasks for the definition of a production strategy. Methods for site selection, for the site-specific adaptation of product design and production technology as well as for the establishment of new production sites and for the adaptation of existing production networks to changing framework conditions are subsequently taught within the context of the design of the network footprint. With regard to the management of global production networks, the lecture addresses challenges associated with coordination, procurement and order management in global networks. The lecture is complemented by a discussion on the use of industry 4.0 applications in global production and current trends in planning, designing and managing global production networks. The topics include:

• Basic conditions and influencing factors of global production (historical development, targets, chances and threats) • Framework for planning, designing and managing global production networks • Production strategies for global production networks ◦ From business strategy to production strategy ◦ Tasks of the production strategy (product portfolio management, circular economy, planning of production depth, production-related research and development) • Design of global production networks ◦ Basic types of network structures ◦ Planning process for the design of the network footprint ◦ Adaptation of the network footprint ◦ Site selection ◦ Location-specific adaptation of production technology and product design • Management of global production networks ◦ Network coordination ◦ Procurement process ◦ Order management

• Trends in planning, designing and managing global production networks

Learning Outcomes: The students …

• can explain the general conditions and influencing factors of global production • are capable to apply defined procedures for site selection and to evaluate site decisions with the help of different methods • are able to select the adequate scope of design for siteappropriate production and product construction casespecifically • can state the central elements in the planning process of establishing a new production site. • are capable to make use of the methods to design and scale global production networks for company-individual problems

• are able to show up the challenges and potentials of the departments sales, procurement as well as research and development on global basis.

Workload: regular attendance: 21 hours self-study: 99 hours

Recommendations: Combination with Global Production and Logistics – Part 2

Organizational issues Start: 18.10.2021 Vorlesungstermine montags 14:00 - 15:30 Uhr Lectures on Mondays 14:00 - 15:30

Industrial Engineering and Management M.Sc. 407 Module Handbook as of 30/09/2021 7 COURSES Course: Global Production [T-MACH-110991]

Literature Medien Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt empfohlene Sekundärliteratur: Abele, E. et al: Handbuch Globale Produktion, Hanser Fachbuchverlag, 2006 (deutsch) Media Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/) recommended secondary literature: Abele, E. et al: Global Production – A Handbook for Strategy and Implementation, Springer 2008 (english)

Industrial Engineering and Management M.Sc. 408 Module Handbook as of 30/09/2021 7 COURSES Course: Graph Theory and Advanced Location Models [T-WIWI-102723]

T 7.177 Course: Graph Theory and Advanced Location Models [T-WIWI-102723]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 2

Competence Certificate The assessment is a 60 minutes written examination (according to §4(2), 1 of the examination regulation). The examination is held in the term of the lecture and the following lecture.

Prerequisites None

Recommendation Basic knowledge as conveyed in the module "Introduction to Operations Research" is assumed.

Annotation The course is offered irregularly. Planned lectures for the next three years can be found in the internet at http://dol.ior.kit.edu/ english/Courses.php.

Industrial Engineering and Management M.Sc. 409 Module Handbook as of 30/09/2021 7 COURSES Course: Großdiesel- und -gasmotoren für Schiffsantriebe [T-MACH-110816]

T 7.178 Course: Großdiesel- und -gasmotoren für Schiffsantriebe [T-MACH-110816]

Responsible: Dr.-Ing. Heiko Kubach Organisation: Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Recurrence Expansion Version Oral examination 4 Grade to a third Each summer term 1 terms 1

Events ST 2021 2134154 Large Diesel and Gas Engines for 2 SWS Lecture / 🧩 Weisser Ship Propulsions Exams ST 2021 76-T-MACH-110816 Großdiesel- und -gasmotoren für Schiffsantriebe Weisser

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, 20 minutes

Prerequisites None

Below you will find excerpts from events related to this course:

Large Diesel and Gas Engines for Ship Propulsions V Lecture (V) 2134154, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• Introduction and History • Types of Ships amd Propulsion Systems • Thermodynamic • Boosting • Design • Fuels • Lubricants • Injection of liquid Fuels • Combustions Processes for liquid Fuels • Injection of Gaseous Fuels • Combustion Processes for Gaseous Fuels • Emissions • Integration of Engines in Ships • Large Engines in other Applications

Industrial Engineering and Management M.Sc. 410 Module Handbook as of 30/09/2021 7 COURSES Course: Growth and Development [T-WIWI-111318]

T 7.179 Course: Growth and Development [T-WIWI-111318]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: M-WIWI-101478 - Innovation and Growth M-WIWI-101496 - Growth and Agglomeration

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Competence Certificate Depending on further pandemic developments, the examination will be offered either as an open-book examination or as a 60- minute written examination.

Prerequisites None

Recommendation Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. In addition, an interest in quantitative-mathematical modeling is required.

Annotation Due to the research semester of Prof. Dr. Ingrid Ott, the course will not be offered in the winter semester 2021/22. The exam will take place. Preparation materials can be found in ILIAS.

Industrial Engineering and Management M.Sc. 411 Module Handbook as of 30/09/2021 7 COURSES Course: Handling Characteristics of Motor Vehicles I [T-MACH-105152]

T 7.180 Course: Handling Characteristics of Motor Vehicles I [T-MACH-105152]

Responsible: Dr.-Ing. Hans-Joachim Unrau Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101264 - Handling Characteristics of Motor Vehicles

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events

WT 21/22 2113807 Handling Characteristics of 2 SWS Lecture / 🗣 Unrau Motor Vehicles I Exams ST 2021 76-T-MACH-105152 Handling Characteristics of Motor Vehicles I Unrau WT 21/22 76-T-MACH-105152 Handling Characteristics of Motor Vehicles I Unrau

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Verbally

Duration: 30 up to 40 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Handling Characteristics of Motor Vehicles I V Lecture (V) 2113807, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content 1. Problem definition: Control loop driver - vehicle - environment (e.g. coordinate systems, modes of motion of the car body and the wheels)

2. Simulation models: Creation from motion equations (method according to D'Alembert, method according to Lagrange, programme packages for automatically producing of simulation equations), model for handling characteristics (task, motion equations)

3. Tyre behavior: Basics, dry, wet and winter-smooth roadway Learning Objectives: The students know the basic connections between drivers, vehicles and environment. They can build up a vehicle simulation model, with which forces of inertia, aerodynamic forces and tyre forces as well as the appropriate moments are considered. They have proper knowledge in the area of tyre characteristics, since a special meaning comes to the tire behavior during driving dynamics simulation. Consequently they are ready to analyze the most importent influencing factors on the driving behaviour and to contribute to the optimization of the handling characteristics.

Literature 1. Willumeit, H.-P.: Modelle und Modellierungsverfahren in der Fahrzeugdynamik, B. G. Teubner Verlag, 1998

2. Mitschke, M./Wallentowitz, H.: Dynamik von Kraftfahrzeugen, Springer-Verlag, Berlin, 2004

3. Gnadler, R.; Unrau, H.-J.: Umdrucksammlung zur Vorlesung Fahreigenschaften von Kraftfahrzeugen I

Industrial Engineering and Management M.Sc. 412 Module Handbook as of 30/09/2021 7 COURSES Course: Handling Characteristics of Motor Vehicles II [T-MACH-105153]

T 7.181 Course: Handling Characteristics of Motor Vehicles II [T-MACH-105153]

Responsible: Dr.-Ing. Hans-Joachim Unrau Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101264 - Handling Characteristics of Motor Vehicles

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 2114838 Handling Characteristics of 2 SWS Lecture / 🖥 Unrau Motor Vehicles II Exams ST 2021 76-T-MACH-105153 Handling Characteristics of Motor Vehicles II Unrau WT 21/22 76-T-MACH-105153 Handling Characteristics of Motor Vehicles II Unrau

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Examination

Duration: 30 up to 40 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Handling Characteristics of Motor Vehicles II V Lecture (V) 2114838, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content 1. Vehicle handling: Bases, steady state cornering, steering input step, single sine, double track switching, slalom, cross-wind behavior, uneven roadway

2. stability behavior: Basics, stability conditions for single vehicles and for vehicles with trailer Learning Objectives: The students have an overview of common test methods, with which the handling of vehicles is gauged. They are able to interpret results of different stationary and transient testing methods. Apart from the methods, with which e.g. the driveability in curves or the transient behaviour from vehicles can be registered, also the influences from cross-wind and from uneven roadways on the handling characteristics are well known. They are familiar with the stability behavior from single vehicles and from vehicles with trailer. Consequently they are ready to judge the driving behaviour of vehicles and to change it by specific vehicle modifications.

Literature 1. Zomotor, A.: Fahrwerktechnik: Fahrverhalten, Vogel Verlag, 1991 2. Mitschke, M./Wallentowitz, H.: Dynamik von Kraftfahrzeugen, Springer-Verlag, Berlin, 2004

3. Gnadler, R.; Unrau, H.-J.: Umdrucksammlung zur Vorlesung Fahreigenschaften von Kraftfahrzeugen II

Industrial Engineering and Management M.Sc. 413 Module Handbook as of 30/09/2021 7 COURSES Course: Heat Economy [T-WIWI-102695]

T 7.182 Course: Heat Economy [T-WIWI-102695]

Responsible: Prof. Dr. Wolf Fichtner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101452 - Energy Economics and Technology

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 2581001 Heat Economy 2 SWS Lecture / 🖥 Fichtner Exams ST 2021 7981001 Heat Economy Fichtner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The lecture will be suspended in summer semester 2021. The assessment consists of a written (60 minutes) or oral exam (30 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None.

Recommendation None

Annotation See German version.

Below you will find excerpts from events related to this course:

Heat Economy V Lecture (V) 2581001, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues Seminarraum Standort West Mittwoch: 08:00 - 09:30

Industrial Engineering and Management M.Sc. 414 Module Handbook as of 30/09/2021 7 COURSES Course: High Performance Powder Metallurgy Materials [T-MACH-102157]

T 7.183 Course: High Performance Powder Metallurgy Materials [T-MACH-102157]

Responsible: Dr. Günter Schell Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events

ST 2021 2126749 Advanced powder metals 2 SWS Lecture / 🖥 Schell Exams ST 2021 76-T-MACH-102157 High Performance Powder Metallurgy Materials Schell WT 21/22 76-T-MACH-102157 High Performance Powder Metallurgy Materials Schell

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, 20- 30 min

Prerequisites none

Below you will find excerpts from events related to this course:

Advanced powder metals V Lecture (V) 2126749, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature

• W. Schatt ; K.-P. Wieters ; B. Kieback. ".Pulvermetallurgie: Technologien und Werkstoffe", Springer, 2007 • R.M. German. "Powder metallurgy and particulate materials processing. Metal Powder Industries Federation, 2005 • F. Thümmler, R. Oberacker. "Introduction to Powder Metallurgy", Institute of Materials, 1993

Industrial Engineering and Management M.Sc. 415 Module Handbook as of 30/09/2021 7 COURSES Course: High-Voltage Technology [T-ETIT-110266]

T 7.184 Course: High-Voltage Technology [T-ETIT-110266]

Responsible: Dr.-Ing. Rainer Badent Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101163 - High-Voltage Technology

Type Credits Grading scale Recurrence Expansion Version Written examination 6 Grade to a third Each winter term 1 terms 1

Events WT 21/22 2307360 High-Voltage Technology 2 SWS Lecture / 🧩 Badent WT 21/22 2307362 Tutorial for 2307362High-Voltage 1 SWS Practice / 🧩 Badent Technology Exams ST 2021 73730360 High-Voltage Technology Badent

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 416 Module Handbook as of 30/09/2021 7 COURSES Course: High-Voltage Test Technique [T-ETIT-101915]

T 7.185 Course: High-Voltage Test Technique [T-ETIT-101915]

Responsible: Dr.-Ing. Rainer Badent Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101164 - Generation and Transmission of Renewable Power

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2307392 High-Voltage Test Technique 2 SWS Lecture / 🧩 Badent WT 21/22 2307394 Tutorial for 2307392 High-Voltage 2 SWS Practice / 🧩 Gielnik Test Technique Exams ST 2021 7307392 High-Voltage Test Technique Badent

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites none

Industrial Engineering and Management M.Sc. 417 Module Handbook as of 30/09/2021 7 COURSES Course: Human Factors in Security and Privacy [T-WIWI-109270]

T 7.186 Course: Human Factors in Security and Privacy [T-WIWI-109270]

Responsible: Prof. Dr. Melanie Volkamer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 3

Events WT 21/22 2511554 Human Factors in Security and 2 SWS Lecture Volkamer Privacy WT 21/22 2511555 Übungen zu Human Factors in 1 SWS Practice Volkamer, Berens Security and Privacy Exams WT 21/22 7900113 Human Factors in Security and Privacy Volkamer

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation or an oral exam (30 min) following §4, Abs. 2, 2 of the examination regulation. Only those who have successfully participated in the exercises and the lecture will be admitted to the examination. The exam takes place every semester and can be repeated at every regular examination date.

Prerequisites Both need to be done:

• Pass Quiz on Paper for Graphical Passwords • Presentation of Results Exercise 2

+ 9 of the following 11 need to be done:

• Submit ILIAS certificate until Oct 24 • Pass Quiz on InfoSec Lecture • Active participation exercise 1 Part 1 - Evaluation and analyses methods • Pass Quiz Paper Discussion 1 - User Behaviour and motivation theories • Active participation exercise 1 Part 2 • Pass Quiz Paper Discussion 2 - User Behaviour and motivation theories • Pass Quiz Paper Discussion 3 - Security Awareness • Active participation exercise 1 Part 3 • Pass Quiz Paper Discussion 4 - Graphical Authentication • Pass Quiz Paper Discussion 5 - Shoulder Surfing Authentication • Active participation exercise 2

Recommendation The prior attendance of the lecture "Information Security" is strongly recommended.

Annotation The lecture will not be offered in winter semester 2020/21. Some lectures are in English, some in German.

Below you will find excerpts from events related to this course:

Human Factors in Security and Privacy V Lecture (V) 2511554, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Industrial Engineering and Management M.Sc. 418 Module Handbook as of 30/09/2021 7 COURSES Course: Human Factors in Security and Privacy [T-WIWI-109270]

Literature

• Usable Security: History, Themes, and Challenges (Synthesis Lectures on Information Security, Privacy, and Trust): Simson Garfinkel und Heather Richter Lipford. 2014 • Security and Usability: Designing Secure Systems that People Can Use von Lorrie Faith Cranor und Simson Garfinkel. 2005 • Melanie Volkamer, Karen Renaud: Mental Models - General Introduction and Review of Their Application to Human- Centred Security. In Number Theory and Cryptography (2013): 255-280: https://link.springer.com/chapter/ 10.1007/978-3-642-42001-6_18 • Paul Gerber, Marco Ghiglierie, Birgit Henhapl, Oksana Kulyk, Karola Marky, Peter Mayer, Benjamin Reinheimer, Melanie Volkamer: Human Factors in Security. In: Reuter C. (eds) Sicherheitskritische Mensch-Computer-Interaktion. Springer (2018) https://link.springer.com/chapter/10.1007/978-3-658-19523-6_5 • Bruce Schneier: Psychology of Security (2018): https://www.schneier.com/essays/archives/2008/01/ the_psychology_of_se.html • Ross Anderson: security /usability and psychology. In Security Engineering. http://www.cl.cam.ac.uk/~rja14/Papers/SEv2- c02.pdf • Andrew Odlyzko: Economics, Psychology and Sociology of Security: http://www.dtc.umn.edu/~odlyzko/doc/ econ.psych.security.pdf

Industrial Engineering and Management M.Sc. 419 Module Handbook as of 30/09/2021 7 COURSES Course: Ignition Systems [T-MACH-105985]

T 7.187 Course: Ignition Systems [T-MACH-105985]

Responsible: Dr.-Ing. Olaf Toedter Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101303 - Combustion Engines II

Type Credits Grading scale Version Oral examination 4 Grade to a third 1

Events

WT 21/22 2133125 Ignition systems 2 SWS Lecture / 🗣 Toedter Exams WT 21/22 76-T-MACH-105985 Ignition systems Koch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, 20 min

Prerequisites none

Below you will find excerpts from events related to this course:

Ignition systems V Lecture (V) 2133125, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content

• Ignition Process • Spark Ignition • Principle of Spark Ignition Systems • Limits of Spark Ignition • New Develpoments of Spark Ignition Systems • New an Alternative Ignition Systems

Industrial Engineering and Management M.Sc. 420 Module Handbook as of 30/09/2021 7 COURSES Course: Incentives in Organizations [T-WIWI-105781]

T 7.188 Course: Incentives in Organizations [T-WIWI-105781]

Responsible: Prof. Dr. Petra Nieken Organisation: KIT Department of Economics and Management Part of: M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101500 - Microeconomic Theory M-WIWI-101505 - Experimental Economics M-WIWI-101510 - Cross-Functional Management Accounting

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2573003 Incentives in Organizations 2 SWS Lecture / 🖥 Nieken ST 2021 2573004 Übung zu Incentives in 2 SWS Practice / 🖥 Nieken, Mitarbeiter Organizations Exams ST 2021 7900132 Incentives in Organizations Nieken

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is a written examination (60 min). The exam takesplace in every semester. Re-examinations are offered at every ordinaryexamination date. In case of a small number of registrations, we might offer an oral exam instead of a written exam.

Prerequisites None

Recommendation Knowledge of microeconomics, game theory, and statistics is assumed.

Below you will find excerpts from events related to this course:

Incentives in Organizations V Lecture (V) 2573003, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 421 Module Handbook as of 30/09/2021 7 COURSES Course: Incentives in Organizations [T-WIWI-105781]

Content The students acquire profound knowledge about the design and the impact of different incentive and compensation systems. Topics covered are, for instance, performance based compensation, team work, intrinsic motivation, multitasking, and subjective performance evaluations. We will use microeconomic or behavioral models as well as empirical data to analyze incentive systems. We will investigate several widely used compensation schemes and their relationship with corporate strategy. Students will learn to develop practical implications which are based on the acquired knowledge of this course.

Aim The student

• develops a strategic understanding about incentives systems and how they work. • analyzes models from personnel economics. • understands how econometric methods can be used to analyze performance and compensation data. • knows incentive schemes that are used in companies and is able to evaluate them critically. • can develop practical implications which are based on theoretical models and empirical data from companies. • understands the challenges of managing incentive and compensation systems and their relationship with corporate strategy.

Workload The total workload for this course is: approximately 135 hours. Lecture: 32 hours Preparation of lecture: 52 hours Exam preparation: 51 hours Literature Slides, Additional case studies and research papers will be announced in the lecture. Literature (complementary): Managerial Economics and Organizantional Architecture, Brickley / Smith / Zimmerman, McGraw-Hill Education, 2015 Behavioral Game Theory, Camerer, Russel Sage Foundation, 2003 Personnel Economics in Practice, Lazear / Gibbs, Wiley, 2014 Introduction to Econometrics, Wooldridge, Andover, 2014 Econometric Analysis of Cross Section and Panel Data, Wooldridge, MIT Press, 2010

Organizational issues Die Vorlesungsinhalte sind als Aufzeichnungen verfügbar. An ausgewählten Vorlesungsterminen gibt es Live-Sessions. Diese werden zum Vorlesungsstart bekannt gegeben. There are recordings of the lecture contents. There will be live sessions on selected lecture dates. These will be announced at the start of the lecture time.

Industrial Engineering and Management M.Sc. 422 Module Handbook as of 30/09/2021 7 COURSES Course: Information Engineering [T-MACH-102209]

T 7.189 Course: Information Engineering [T-MACH-102209]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 2

Events ST 2021 2122014 Information Engineering 2 SWS Seminar / 🧩 Ovtcharova, Mitarbeiter Exams ST 2021 76-T-MACH-102209 Information Engineering Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (written composition and speech)

Prerequisites None

Below you will find excerpts from events related to this course:

Information Engineering V Seminar (S) 2122014, SS 2021, 2 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content Seminar papers on current research topics of the Institute for Information Management in Engineering. The respective topics are presented at the beginning of each semester.

Organizational issues Siehe ILIAS-Kurs

Literature Themenspezifische Literatur

Industrial Engineering and Management M.Sc. 423 Module Handbook as of 30/09/2021 7 COURSES Course: Information Management for Public Mobility Services [T-BGU-106608]

T 7.190 Course: Information Management for Public Mobility Services [T-BGU-106608]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events WT 21/22 6232905 Informationsmanagement für 2 SWS Block Vortisch öffentliche Mobilitätsangebote

Competence Certificate lecture accompanying exercises, appr. 5 pieces

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 424 Module Handbook as of 30/09/2021 7 COURSES Course: Information Service Engineering [T-WIWI-106423]

T 7.191 Course: Information Service Engineering [T-WIWI-106423]

Responsible: Prof. Dr. Harald Sack Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2511606 Information Service Engineering 2 SWS Lecture / 🖥 Sack ST 2021 2511607 Exercises to Information Service 1 SWS Practice / 🖥 Sack Engineering Exams ST 2021 7900070 Information Service Engineering (Registration until 12 July 2021) Sack WT 21/22 7900071 Information Service Engineering Sack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation or an oral exam (20 min) following §4, Abs. 2, 2 of the examination regulation. The exam takes place every semester and can be repeated at every regular examination date.

Prerequisites None

Below you will find excerpts from events related to this course:

Information Service Engineering V Lecture (V) 2511606, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 425 Module Handbook as of 30/09/2021 7 COURSES Course: Information Service Engineering [T-WIWI-106423]

Content - Information, Natural Language and the Web - Natural Language Processing

• NLP and Basic Linguistic Knowledge • NLP Applications, Techniques & Challenges • Evaluation, Precision and Recall • Regular Expressions and Automata • Tokenization • Language Model and N-Grams • Part-of-Speech Tagging

- Knowledge Graphs

• Knowledge Representations and Ontologies • Resource Description Framework (RDF) as simple Data Model • Creating new Models with RDFS • Querying RDF(S) with SPARQL • More Expressivity via Web Ontology Language (OWL) • From Linked Data to Knowledge Graphs • Wikipedia, DBpedia, and Wikidata • Knowledge Graph Programming

- Basic Machine Learning

• Machine Learning Fundamentals • Evaluation and Generalization Problems • Linear Regression • Decision Trees • Unsupervised Learning • Neural Networks and Deep Learning

- ISE Applications

• From Data to Knowledge • Data Mining, Information Visualization and Knowledge Discovery • Semantic Search • Exploratory Search • Semantic Recommender Systems

Learning objectives:

• The students know the fundamentals and measures of information theory and are able to apply those in the context of Information Service Engineering. • The students have basic skills of natural language processing and are enabled to apply natural language processing technology to solve and evaluate simple text analysis tasks. • The students have fundamental skills of knowledge representation with ontologies as well as basic knowledge of Semantic Web and Linked Data technologies. The students are able to apply these skills for simple representation and analysis tasks. • The students have fundamental skills of information retrieval and are enabled to conduct and to evaluate simple information retrieval tasks. • The students apply their skills of natural language processing, Linked Data engineering, and Information Retrieval to conduct and evaluate simple knowledge mining tasks. • The students know the fundamentals of recommender systems as well as of semantic and exploratory search.

Literature

• D. Jurafsky, J.H. Martin, Speech and Language Processing, 2nd ed. Pearson Int., 2009. • A. Hogan, The Web of Data, Springer, 2020. • G. Rebala, A. Ravi, S. Churiwala, An Introduction to Machine Learning, Springer, 2019.

Industrial Engineering and Management M.Sc. 426 Module Handbook as of 30/09/2021 7 COURSES Course: Information Systems and Supply Chain Management [T-MACH-102128]

T 7.192 Course: Information Systems and Supply Chain Management [T-MACH-102128]

Responsible: Dr.-Ing. Christoph Kilger Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 3

Events

ST 2021 2118094 Information Systems in Logistics 2 SWS Lecture / 🖥 Kilger and Supply Chain Management Exams ST 2021 76-T-MACH-102128 Information Systems and Supply Chain Management Mittwollen WT 21/22 76T-MACH-102128 Information Systems and Supply Chain Management Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The success control takes place in form of a written examination (60 min) during the semester break (according to §4(2), 1 SPO). If the number of participants is low, an oral examination (according to §4 (2), 2 SPO) may also be offered.

Prerequisites none

Below you will find excerpts from events related to this course:

Information Systems in Logistics and Supply Chain Management V Lecture (V) 2118094, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature Stadtler, Kilger: Supply Chain Management and Advanced Planning, Springer, 4. Auflage 2008

Industrial Engineering and Management M.Sc. 427 Module Handbook as of 30/09/2021 7 COURSES Course: Infrastructure Management [T-BGU-106300]

T 7.193 Course: Infrastructure Management [T-BGU-106300]

Responsible: Prof. Dr.-Ing. Ralf Roos Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-100998 - Design, Construction, Operation and Maintenance of Highways M-BGU-100999 - Highway Engineering

Type Credits Grading scale Recurrence Version Written examination 6 Grade to a third Each term 1

Events

ST 2021 6233801 Entwurf und Bau von Straßen 2 SWS Lecture / 🖥 Roos ST 2021 6233802 Betrieb und Erhaltung von Straßen 2 SWS Lecture / 🖥 Roos Exams ST 2021 8245106300 Infrastructure Management Roos

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 120 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 428 Module Handbook as of 30/09/2021 7 COURSES Course: Innovation Lab [T-ETIT-110291]

T 7.194 Course: Innovation Lab [T-ETIT-110291]

Responsible: Prof. Dr.-Ing. Sören Hohmann Prof. Dr.-Ing. Eric Sax Prof. Dr. Wilhelm Stork Prof. Dr.-Ing. Thomas Zwick Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-WIWI-105011 - Student Innovation Lab (SIL) 2

Type Credits Grading scale Recurrence Expansion Version Examination of another type 9 Grade to a third Each winter term 2 terms 1

Events WT 21/22 2303192 Innovation Lab 2 SWS Project (P Hohmann, Zwick, Sax, Stork Exams WT 21/22 7303192 Innovation Lab Hohmann, Zwick, Stork, Sax

Competence Certificate see module description

Industrial Engineering and Management M.Sc. 429 Module Handbook as of 30/09/2021 7 COURSES Course: Innovation Management: Concepts, Strategies and Methods [T-WIWI-102893]

T 7.195 Course: Innovation Management: Concepts, Strategies and Methods [T- WIWI-102893]

Responsible: Prof. Dr. Marion Weissenberger-Eibl Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 2545100 Innovation Management: Concepts, 2 SWS Lecture / 🖥 Weissenberger-Eibl Strategies and Methods Exams ST 2021 7900144 Innovation Management: Concepts, Strategies and Methods Weissenberger-Eibl ST 2021 7900145 Innovation Management: Concepts, Strategies and Methods Weissenberger-Eibl

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 minutes). The exam takes place in every summer semester. Re-examinations are offered at every ordinary examination date.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Innovation Management: Concepts, Strategies and Methods V Lecture (V) 2545100, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The course ‘Innovation Management: Concepts, Strategies and Methods’ offers scientific concepts which facilitate the understanding of the different phases of the innovation process and resulting strategies and appropriate methodologies suitable for application. The concepts refer to the entire innovation process so that an integrated perspective is made possible. This is the basis for the teaching of strategies and methods which fulfil the diverse demands of the complex innovation process. The course focuses particularly on the creation of interfaces between departments and between various actors in a company’s environment and the organisation of a company’s internal procedures. In this context a basic understanding of knowledge and communication is taught in addition to the specific characteristics of the respective actors. Subsequently methods are shown which are suitable for the profitable and innovation-led implementation of integrated knowledge. Aim: Students develop a differentiated understanding of the different phases and concepts of the innovation process, different strategies and methods in innovation management.

Organizational issues Die Vorlesung wird als interaktive online Veranstaltung durchgeführt. Die Vorlesung startet am 15.04.2021 und findet donnerstags 10:00-11:30 Uhr statt. Wichtig! Bitte treten Sie dem ILIAS-Kurs zur Vorlesung bei, damit wir Ihnen weitere Informationen mittteilen können.

Literature Eine ausführliche Literaturliste wird mit den Vorlesungsunterlagen zur Verfügung gestellt. Eine Einführung bei: Vahs,D./Brem,A. (2013): Innovationsmanagement. Von der Idee zur erfolgreichen Vermarktung, 4. Auflage, Stuttgart 2013.

Industrial Engineering and Management M.Sc. 430 Module Handbook as of 30/09/2021 7 COURSES Course: Innovation Processes Live [T-WIWI-110234]

T 7.196 Course: Innovation Processes Live [T-WIWI-110234]

Responsible: Dr. Daniela Beyer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate Alternative exam assessments (§4(2), 3 SPO). The grade consists of an exposé (15%), a guideline interview or an analysis tool (25%), a group presentation of the results (20%) and a seminar paper (40%).

Prerequisites None.

Recommendation Prior attendance of the course Innovation Management [2545015] is recommended.

Industrial Engineering and Management M.Sc. 431 Module Handbook as of 30/09/2021 7 COURSES Course: Innovation Theory and Policy [T-WIWI-102840]

T 7.197 Course: Innovation Theory and Policy [T-WIWI-102840]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: M-WIWI-101478 - Innovation and Growth M-WIWI-101497 - Agglomeration and Innovation M-WIWI-101514 - Innovation Economics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2560236 Innovationtheory and -policy 2 SWS Lecture / 🖥 Ott ST 2021 2560237 1 SWS Practice / 🖥 Ott Exams ST 2021 7900107 Innovationtheory and -Policy Ott WT 21/22 7900077 Innovationtheory and -Policy Ott

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 60-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Recommendation Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. In addition, an interest in quantitative-mathematical modeling is required.

Below you will find excerpts from events related to this course:

Innovationtheory and -policy V Lecture (V) 2560236, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Industrial Engineering and Management M.Sc. 432 Module Handbook as of 30/09/2021 7 COURSES Course: Innovation Theory and Policy [T-WIWI-102840]

Content Learning objectives: Students shall be given the ability to

• identify the importance of alternative incentive mechanisms for the emergence and dissemination of innovations • understand the relationships between market structure and the development of innovation • explain, in which situations market interventions by the state, for example taxes and subsidies, can be legitimized, and evaluate them in the light of economic welfare

Course content: The course covers the following topics:

• Incentives for the emergence of innovations • Patents • Diffusion • Impact of technological progress • Innovation Policy

Recommendations: Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. In addition, an interest in quantitative-mathematical modeling is required. Workload: The total workload for this course is approximately 135.0 hours. For further information see German version. Exam description: The assessment consists of a written exam (60 min) according to Section 4(2), 1 of the examination regulation. The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Students will be given the opportunity of writing and presenting a short paper during the lecture time to achieve a bonus on the exam grade. If the mandatory credit point exam is passed, the awarded bonus points will be added to the regular exam points. A deterioration is not possible by definition, and a grade does not necessarily improve, but is very likely to (not every additional point improves the total number of points, since a grade can not become better than 1). The voluntary elaboration of such a paper can not countervail a fail in the exam.

Literature Auszug:

• Aghion, P., Howitt, P. (2009), The Economics of Growth, MIT Press, Cambridge MA. • de la Fuente, A. (2000), Mathematical Methods and Models for Economists. Cambridge University Press, Cambridge, UK. • Klodt, H. (1995), Grundlagen der Forschungs- und Technologiepolitik. Vahlen, München. • Linde, R. (2000), Allokation, Wettbewerb, Verteilung - Theorie, UNIBUCH Verlag, Lüneburg. • Ruttan, V. W. (2001), Technology, Growth, and Development. Oxford University Press, Oxford. • Scotchmer, S. (2004), Incentives and Innovation, MIT Press. • Tirole, Jean (1988), The Theory of Industrial Organization, MIT Press, Cambridge MA.

Industrial Engineering and Management M.Sc. 433 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Design Project in Water Resources Management [T-BGU-111275]

T 7.198 Course: Integrated Design Project in Water Resources Management [T- BGU-111275]

Responsible: Dr.-Ing. Uwe Ehret Dr.-Ing. Frank Seidel Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-104837 - Natural Hazards and Risk Management

Type Credits Grading scale Recurrence Expansion Version Examination of another type 6 Grade to a third Each term 1 terms 1

Events ST 2021 6224801 Integrated Design Project in Water 4 SWS Lecture / Practice ( / Ehret, Seidel Resources Management 🖥 Exams ST 2021 8244111275 Integrated Design Project in Water Resources Management Ehret, Seidel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate project work, report approx. 15 pages with presentation approx. 15 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 434 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Product Development [T-MACH-105401]

T 7.199 Course: Integrated Product Development [T-MACH-105401]

Responsible: Prof. Dr.-Ing. Albert Albers Albers Assistenten Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-102626 - Major Field: Integrated Product Development

Type Credits Grading scale Recurrence Version Oral examination 18 Grade to a third Each winter term 1

Events

WT 21/22 2145156 Integrated Product 4 SWS Lecture / 🗣 Albers Development

WT 21/22 2145157 Workshop Product 4 SWS Practice / 🗣 Albers, Mitarbeiter Development

WT 21/22 2145300 Project Work in Product 2 SWS Others (sons / 🗣 Albers Development Exams WT 21/22 76-T-MACH-105401 Integrated Product Development Albers

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination (60 minutes)

Prerequisites none

Annotation Due to organizational reasons, the number of participants is limited. Thus a selection has to be made. For registration to the selection process a standard form has to be used, that can be downloaded from IPEK hompage from april to july. The selection itself is made by Prof. Albers in personal interviews.

Below you will find excerpts from events related to this course:

Integrated Product Development V Lecture (V) 2145156, WS 21/22, 4 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 435 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Product Development [T-MACH-105401]

Content Registration required in the previous summer semester. The lecture starts in first week of October. Prerequisites: The participation in "Integrated Product Development" requires the concurrent participation in lectures (2145156), tutorials (2145157) and project work (2145300). Due to organizational reasons, the number of participants is limited. Thus a selection has to be made. For registration to the selection process a standard form has to be used, that can be downloaded from IPEK hompage from april to july. The selection itself is made by Prof. Albers in personal interviews. Recommendations: none Workload: regular attendance: 84 h self-study: 288 h Examination: oral examination (60 minutes) combined examination of lectures, tutorials and project work Course content: organizational integration: integrated product engineering model, core team management and simultaneous engineering informational integration: innovation management, cost management, quality management and knowledge management personal integration: team coaching and leadership management invited lectures Learning objectives: The Students are able to ...

• analyze and evaluate product development processes based on examples and their own experiences. • plan, control and evaluate the working process systematically. • choose and use suitable methods of product development, system analysis and innovation management under consideration of the particular situation. • prove their results. • develop complex technical solutions in a team and to present them to qualified persons as well as non-qualified persons • to design overall product development processes under consideration of market-, customer- and company- aspects

Literature Klaus Ehrlenspiel - Integrierte Produktentwicklung. Denkabläufe, Methodeneinsatz, Zusammenarbeit, Hanser Verlag, 2009

Workshop Product Development V Practice (Ü) 2145157, WS 21/22, 4 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 436 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Product Development [T-MACH-105401]

Content Prerequisites: The participation in "Integrated Product Development" requires the concurrent participation in lectures (2145156), tutorials (2145157) and project work (2145300). Due to organizational reasons, the number of participants is limited to 42 persons. Thus a selection has to be made. For registration to the selection process a standard form has to be used, that can be downloaded from IPEK hompage from april to july. The selection itself is made by Prof. Albers in personal interviews. Recommendations: none Workload: regular attendance: 84 h self-study: 288 h Examination: lectures: 21 h preparation to exam: 99 h Course content: problem solving: analysis techniques, creativity techniques and evaluation methods professional skills: presentation techniques, moderation and teamcoaching development tools: MS Project, Szenario-Manager & Pro/Engineer Wildfire Learning objectives: The theoretical background taught in the lecture, is deepened through methodworkshops, business games and case studies. The reflexion of the onself precedure allows for an applicability and practicability of the contents in the accompnying development project as well as for the career entry.

Literature Klaus Ehrlenspiel - Integrierte Produktentwicklung. Denkabläufe, Methodeneinsatz, Zusammenarbeit, Hanser Verlag, 2009

Project Work in Product Development V Others (sonst.) 2145300, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 437 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Product Development [T-MACH-105401]

Content Participation only possible in combination with the lecture 2145156 'Integrated Product Development'. Prerequisites: The participation in "Integrated Product Development" requires the concurrent participation in lectures (2145156), tutorials (2145157) and project work (2145300). Due to organizational reasons, the number of participants is limited to 42 persons. Thus a selection has to be made. For registration to the selection process a standard form has to be used, that can be downloaded from IPEK hompage from april to july. The selection itself is made by Prof. Albers in personal interviews. Recommendations: none Workload: regular attendance: 21 h self-study: 99 h Examination: oral examination (60 minutes) combined examination of lectures, tutorials and project work Course content: The project work begins with the early stages of product development, i.e. the identification of market trends and needs. Based on this information the students develop scenarios for future markets and create product profiles, which describe the customers and their demands without anticipating possible product solutions. After having passed several following milestones for ideas, concepts and designs, virtual prototypes and function prototypes are presented to an audience. The project work is supported by coaching through skilled faculty staff. Additionally weekly tutorials, respectively workshops are given. For doing the project the teams gain access to team workspaces featuring IT-infrastructure and relevant software, such as office, CAD or FEA. Further on the teams learn how team cooperation and knowledge management can be supported in design project by using a wiki system.s Learning objectives: The center of "Integrated Product Development" constitutes itself in the development of a technical product within independent working student teams on the basis of the market situation up to virtual and real prototypes. Thereby the integrate treatment of the product development process is of importance. The project teams hereby represent development departments of medium sized companies, in which the presented methods and tools are field - experienced applied and ideas are transformed into concrete product models. For the preparation of this development project the basics of 3D-CAD-modelling (Pro/ENGINEER) as well as different tools and methods of creative designing, of sketching and solution finding are mediated in workshops. Special events impart an insight of presentation techniques and the meaning of technical design.

Industrial Engineering and Management M.Sc. 438 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Production Planning in the Age of Industry 4.0 [T-MACH-109054]

T 7.200 Course: Integrated Production Planning in the Age of Industry 4.0 [T- MACH-109054]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101272 - Integrated Production Planning

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each summer term 1

Events ST 2021 2150660 Integrated Production Planning 6 SWS Lecture / Practice ( / Lanza in the Age of Industry 4.0 🖥 Exams ST 2021 76-T-MACH-109054 Integrated Production Planning in the Age of Industry 4.0 Lanza

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (120 min)

Prerequisites "T-MACH-108849 - Integrierte Produktionsplanung im Zeitalter von Industrie 4.0" as well as "T-MACH-102106 Integrierte Produktionsplanung" must not be commenced.

Below you will find excerpts from events related to this course:

Integrated Production Planning in the Age of Industry 4.0 V Lecture / Practice (VÜ) 2150660, SS 2021, 6 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 439 Module Handbook as of 30/09/2021 7 COURSES Course: Integrated Production Planning in the Age of Industry 4.0 [T-MACH-109054]

Content Integrated production planning in the age of industry 4.0 will be taught in the context of this engineering science lecture. In addition to a comprehensive introduction to Industry 4.0, the following topics will be addressed at the beginning of the lecture:

• Basics, history and temporal development of production • Integrated production planning and integrated digital engineering • Principles of integrated production systems and further development with Industry 4.0

Building on this, the phases of integrated production planning are taught in accordance with VDI Guideline 5200, whereby special features of parts production and assembly are dealt with in the context of case studies:

• Factory planning system • Definition of objectives • Data collection and analysis • Concept planning (structural development, structural dimensioning and rough layout) • Detailed planning (production planning and control, fine layout, IT systems in an industry 4.0 factory) • Preparation and monitoring of implementation • Start-up and series support

The lecture contents are rounded off by numerous current practical examples with a strong industry 4.0 reference. Within the exercises the lecture contents are deepened and applied to specific problems and tasks.

Learning Outcomes: The students …

• can discuss basic questions of production technology. • are able to apply the methods of integrated production planning they have learned about to new problems. • are able to analyze and evaluate the suitability of the methods, procedures and techniques they have learned about for a specific problem. • can apply the learned methods of integrated production planning to new problems. • can use their knowledge targeted for efficient production technology.

Workload: MACH: regular attendance: 63 hours self-study: 177 hours WING: regular attendance: 63 hours self-study: 207 hours

Organizational issues Vorlesungstermine dienstags 14.00 Uhr und donnerstags 14.00 Uhr, Übungstermine donnerstags 15.45 Uhr. Bekanntgabe der konkreten Übungstermine erfolgt in der ersten Vorlesung

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt.

Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 440 Module Handbook as of 30/09/2021 7 COURSES Course: Integrative Strategies in Production and Development of High Performance Cars [T-MACH-105188]

T 7.201 Course: Integrative Strategies in Production and Development of High Performance Cars [T-MACH-105188]

Responsible: Karl-Hubert Schlichtenmayer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 1

Events

ST 2021 2150601 Integrative Strategies in 2 SWS Lecture / 🖥 Schlichtenmayer Production and Development of High Performance Cars Exams ST 2021 76-T-MACH-105188 Integrative Strategies in Production and Development of High Schlichtenmayer Performance Cars

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (60 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Integrative Strategies in Production and Development of High Performance Cars V Lecture (V) 2150601, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 441 Module Handbook as of 30/09/2021 7 COURSES Course: Integrative Strategies in Production and Development of High Performance Cars [T-MACH-105188]

Content The lecture deals with the technical and organizational aspects of integrated development and production of sports cars on the example of Porsche AG. The lecture begins with an introduction and discussion of social trends. The deepening of standardized development processes in the automotive practice and current development strategies follow. The management of complex development projects is a first focus of the lecture. The complex interlinkage between development, production and purchasing are a second focus. Methods of analysis of technological core competencies complement the lecture. The course is strongly oriented towards the practice and is provided with many current examples. The main topics are:

• Introduction to social trends towards high performance cars • Automotive Production Processes • Integrative R&D strategies and holistic capacity management • Management of complex projects • Interlinkage between R&D, production and purchasing • The modern role of manufacturing from a R&D perspective • Global R&D and production • Methods to identify core competencies

Learning Outcomes: The students …

• are capable to specify the current technological and social challenges in automotive industry. • are qualified to identify interlinkages between development processes and production systems. • are able to explain challenges and solutions of global markets and global production of premium products. • are able to explain modern methods to identify key competences of producing companies.

Workload: regular attendance: 21 hours self-study: 99 hours

Organizational issues Die Vorlesung wird wöchentlich dienstags, 10:00 – 11:30 Uhr per Zoom stattfinden. Alle weiteren Informationen inkl. Link zur Zoom-Vorlesung finden Sie im ILIAS-Kurs.

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt.

Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 442 Module Handbook as of 30/09/2021 7 COURSES Course: Intelligent Agent Architectures [T-WIWI-111267]

T 7.202 Course: Intelligent Agent Architectures [T-WIWI-111267]

Responsible: Prof. Dr. Andreas Geyer-Schulz Organisation: KIT Department of Economics and Management Part of: M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Exams ST 2021 7900295 Intelligent Agent Architectures Geyer-Schulz ST 2021 7900318 Intelligent Agent Architectures (Nachklausur WS 2020/2021) Geyer-Schulz

Competence Certificate Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.

Prerequisites None

Recommendation It is recommended to additionally review the Bachelor-level lecture "Customer Relationship Management" from the module "CRM and Servicemanagement".

Industrial Engineering and Management M.Sc. 443 Module Handbook as of 30/09/2021 7 COURSES Course: Intelligent Agents and Decision Theory [T-WIWI-110915]

T 7.203 Course: Intelligent Agents and Decision Theory [T-WIWI-110915]

Responsible: Prof. Dr. Andreas Geyer-Schulz Organisation: KIT Department of Economics and Management Part of: M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540537 Intelligent Agents and Decision Lecture / 🖥 Geyer-Schulz Theory

ST 2021 2540538 Übung zu Intelligent Agents and 1 SWS Practice / 🖥 Schweizer Decision Theory Exams ST 2021 7900306 Intelligent Agents and Decision Theory Geyer-Schulz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral (30 minutes) or written examination (60 minutes). The exam is held in each semester and can be repeated at any regular examination date.Details of the grading system and any exam bonus that may be achieved from the practice are announced in the course.

Prerequisites None

Recommendation We assume knowledge in statistics, operations research and microeconomics as taught in the Bachelor program (VWL I, Operations Research I + II, Statistics I + II) and a familiarity with preferably the Python programming language.

Annotation new lecture starting summer semester 2020

Below you will find excerpts from events related to this course:

Intelligent Agents and Decision Theory V Lecture (V) 2540537, SS 2021, SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 444 Module Handbook as of 30/09/2021 7 COURSES Course: Intelligent Agents and Decision Theory [T-WIWI-110915]

Content The key assumption of this lecture is that the concept of artificial intelligence is inseparably linked to the economic concept of rationality of agents. We consider different classes of decision problems - decisions under certainty, risk and uncertainty - from an economic, managerial and AI-engineering perspective: From an economic point of view, we analyze how to act rationally in these situations based on classic utility theory. In this regard, the course also introduces the relevant parts of decision theory for dealing with

• multiple conflicting objectives, • incomplete, risky and uncertain information about the world, • assessing utility functions, and • quantifying the value of information ...

From an engineering perspective, we discuss how to develop practical solutions for these decision problems, using appropriate AI components. We introduce

• a general, agent-based design framework for AI systems, as well as AI methods from the fields of

• search (for decisions under certainty), • inference (for decions under risk) and • learning (for decisions under uncertainty).

Where applicable, the course highlights the theoretical ties of these methods with decision theory. We conclude with a discussion of ethical and philosophical issues concerning the development and use of AI. Learning objectives Students are able to design, analyze, implement, and evaluate intelligent agents. Lecture Outline

1. Introduction: Artificial intelligence and the economic concept of rationality 2. Intelligent Agents: A general, agent-based design framework for AI systems 3. Decision under certainty: Assessing utility functions for decisions with multiple objectives 4. Search: Linear programming for decisions under certainty 5. Decisions under risk: The expected utility principle 6. Information systems: Improving economic decisions under risk 7. Inference: Bayesian networks for decisions under risk 8. Information Learning objectives value: When should an agent gather new information? 9. Decisions under uncertainty: Complete lack of information 10. Learning: Statistical learning of bayesian networks 11. Learning: Supervised learning with neural networks 12. Learning: Reinforcement learning 13. Learning: Preference-based reinforcement learning 14. Discussion: Ethical and philosophical issues

Note: This rough outline may be subject to change.

Industrial Engineering and Management M.Sc. 445 Module Handbook as of 30/09/2021 7 COURSES Course: Intelligent Agents and Decision Theory [T-WIWI-110915]

Literature Basic literature (by lecture):

1. Russell & Norvig (2016, chapter 1), Bamberg et al. (2019, chapters 1 & 2) 2. Russell & Norvig (2016, chapter 2) 3. Keeney & Raiffa (1993, chapter 3) 4. Nickel et al. (2014, chapter 1) [German], Russell & Norvig (2016, chapter 3) 5. Bamberg et al. (2019, chapter 4), Fishburn (1988) 6. Bamberg et al. (2019, chapter 6) 7. Russell & Norvig (2016, chapters 13, 14, 16) 8. Russell & Norvig (2016, chapter 16), Bamberg et al. (2019, chapter 6) 9. Bamberg et al. (2019, chapter 5) 10. Russell & Norvig (2016, chapter 20) 11. Goodfellow et al. (2016, chapter 6) 12. Sutton & Barto (2018, chapter 3) 13. Wirth et al. (2017) 14. Russell & Norvig (2016, chapter 26)

Detailed references: Bamberg, Coenenberg & Krapp (2019). Betriebswirtschaftliche Entscheidungslehre (16th ed.). Verlag Franz Vahlen GmbH. Fishburn (1988). Nonlinear preference and utility theory. Baltimore: Johns Hopkins University Press. Goodfellow, Bengio & Courville (2016). Deep learning. Cambridge: MIT press. Keeney & Raiffa (1993). Decisions with multiple objectives: preferences and value trade-offs. Cambridge University Press. Nickel, S., Stein, O., & Waldmann, K.-H. (2014). Operations Research (2nd ed.). Springer Berlin Heidelberg. Russell & Norvig (2016). Artificial Intelligence: A Modern Approach (3rd Global Edition). Pearson. Sutton & Barto (2018). Reinforcement learning: An introduction. Cambridge: MIT press. Wirth, Akrour, Neumann & Fürnkranz (2017). A Survey of Preference-Based Reinforcement Learning Methods. Journal of Machine Learning Research, 18(1), 1–46.

Industrial Engineering and Management M.Sc. 446 Module Handbook as of 30/09/2021 7 COURSES Course: International Business Development and Sales [T-WIWI-110985]

T 7.204 Course: International Business Development and Sales [T-WIWI-110985]

Responsible: Erice Casenave Prof. Dr. Martin Klarmann Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-105312 - Marketing and Sales Management

Type Credits Grading scale Recurrence Version Examination of another type 6 Grade to a third see Annotations 1

Events

WT 21/22 2572189 International Business 4 SWS Block / 🗣 Klarmann, Terzidis, Development and Sales Casernave

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Non exam assessment. The grade is based on the presentation, the subsequent discussion and the written elaboration.

Annotation Due to the Corona situation it is currently unclear whether the seminar can be offered in WS20 / 21.

Below you will find excerpts from events related to this course:

International Business Development and Sales V Block (B) 2572189, WS 21/22, 4 SWS, Language: English, Open in study portal On-Site

Content This course is offered as part of the EUCOR programme in cooperation with EM Strasbourg. Max. 10 students of KIT and max. 10 students of EM Strasbourg will develop a sales presentation in tandems (teams of 2). This is based on the value proposition of a business model.

• An application is required to participate in this event. The application phase usually takes place at the beginning of the lecture period. Further information on the application process can be found on the website of the Marketing and Sales Research Group (marketing.iism.kit.edu) shortly before the start of the lecture period.

Total workload for 6 ECTS: about 180 hours.

Industrial Engineering and Management M.Sc. 447 Module Handbook as of 30/09/2021 7 COURSES Course: International Finance [T-WIWI-102646]

T 7.205 Course: International Finance [T-WIWI-102646]

Responsible: Prof. Dr. Marliese Uhrig-Homburg Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third see Annotations 1

Events

ST 2021 2530570 International Finance 2 SWS Lecture / 🖥 Walter, Uhrig- Homburg Exams ST 2021 7900097 International Finance Uhrig-Homburg WT 21/22 7900052 International Finance Uhrig-Homburg

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 60-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Recommendation None

Annotation The course is offered as a 14-day or block course.

Below you will find excerpts from events related to this course:

International Finance V Lecture (V) 2530570, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues nach dem 21.04. nach Absprache

Literature Weiterführende Literatur:

• Eiteman, D. et al., Multinational Business Finance, 13. Auflage, 2012. • Solnik, B. und D. McLeavey, Global Investments, 6. Auflage, 2008.

Industrial Engineering and Management M.Sc. 448 Module Handbook as of 30/09/2021 7 COURSES Course: International Management in Engineering and Production [T-WIWI-102882]

T 7.206 Course: International Management in Engineering and Production [T- WIWI-102882]

Responsible: Dr. Henning Sasse Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each winter term 1

Events

WT 21/22 2581956 International Management in 2 SWS Lecture / 🖥 Sasse Engineering and Production Exams ST 2021 7981956 International Management in Engineering and Production Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral (30 minutes) or written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Annotation The lecture will be renamed "Global Manufacturing" from WS 2022/23.

Below you will find excerpts from events related to this course:

International Management in Engineering and Production V Lecture (V) 2581956, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content

• Fundamentals of international business • Forms of international cooperation and value creation • Site selection • Cost driven internationalization and site selection • Sales and customer driven internationalization and site selection • Challenges, risks and risk mitigation • Management of international production sites • Types and case studies of international production

Organizational issues Blockveranstaltung, siehe Homepage

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 449 Module Handbook as of 30/09/2021 7 COURSES Course: Internet Law [T-INFO-101307]

T 7.207 Course: Internet Law [T-INFO-101307]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: M-INFO-101215 - Intellectual Property Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 2

Events

WT 21/22 24354 Internet Law 2 SWS Lecture / 🖥 Dreier Exams ST 2021 7500057 Internet Law Dreier, Matz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 450 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Bayesian Statistics for Analyzing Data [T-WIWI-110918]

T 7.208 Course: Introduction to Bayesian Statistics for Analyzing Data [T-WIWI-110918]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-103117 - Data Science: Data-Driven Information Systems

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Once 1

Competence Certificate Grades will be based on active participation (50%) and homework assignments (50%).

Prerequisites Participants should already have a basic knowledge of R and standard frequentist statistical tests. Please bring your own Laptop with you as we will be using R for several hands-on examples and exercises during the class. We will mainly work with the book “Statistical Rethinking. A Bayesian Course with Examples in R and Stan” by Richard McElrath. Students are advised to obtain the book before the class starts.

Annotation Due to its interactive nature, participation will be limited to 10 students. If you want to participate, please send a short email to [email protected] until Thursday, the 23rd of April in which you outline why you are interested in this class and what your expectations are. The class will consist of three day-long sessions from 9:00 (s.t.) to 18:00. The first session will be held on Thursday, the 7th of May 2020. The second session will be on Thursday, the 28th of May. The third session will be on Thursday, the 18th of June. The classroom will be communicated to registered students in advance. In case classrooms will be closed due to the Corona virus, the class will be taught online and the schedule will be adapted.

Industrial Engineering and Management M.Sc. 451 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Ceramics [T-MACH-100287]

T 7.209 Course: Introduction to Ceramics [T-MACH-100287]

Responsible: Prof. Dr. Michael Hoffmann Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 6 Grade to a third Each winter term 1

Events WT 21/22 2125757 Introduction to Ceramics 3 SWS Lecture / 🧩 Hoffmann Exams ST 2021 76-T-MACH-100287 Introduction to Ceramics Hoffmann, Schell, Wagner WT 21/22 76-T-MACH-100287 Introduction to Ceramics Hoffmann, Schell, Wagner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (30 min) taking place at a specific date. The re-examination is offered at a specific date.

Prerequisites None

Below you will find excerpts from events related to this course:

Introduction to Ceramics V Lecture (V) 2125757, WS 21/22, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature

• H. Salmang, H. Scholze, "Keramik", Springer • Kingery, Bowen, Uhlmann, "Introduction To Ceramics", Wiley • Y.-M. Chiang, D. Birnie III and W.D. Kingery, "Physical Ceramics", Wiley • S.J.L. Kang, "Sintering, Densification, Grain Growth & Microstructure", Elsevier

Industrial Engineering and Management M.Sc. 452 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Food Law [T-CHEMBIO-108091]

T 7.210 Course: Introduction to Food Law [T-CHEMBIO-108091]

Responsible: Dr. Thomas Kuballa Organisation: KIT Department of Chemistry and Biosciences Part of: M-CIWVT-101119 - Specialization in Food Process Engineering

Type Credits Grading scale Recurrence Version Completed coursework 1,5 pass/fail Each winter term 2

Events WT 21/22 6627 Einführung in das 1 SWS Lecture Kuballa Lebensmittelrecht Exams ST 2021 71B108091 Introduction to Food Law Kuballa WT 21/22 71B108091 Introduction to Food Law Kuballa WT 21/22 71B108091-2 Introduction to Food Law Kuballa

Prerequisites none

Industrial Engineering and Management M.Sc. 453 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Hydrogeology [T-BGU-101499]

T 7.211 Course: Introduction to Hydrogeology [T-BGU-101499]

Responsible: Prof. Dr. Nico Goldscheider Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-104837 - Natural Hazards and Risk Management

Type Credits Grading scale Recurrence Version Written examination 5 Grade to a third Each winter term 1

Events WT 21/22 6339050 Einführung in die Hydrogeologie 4 SWS Lecture / Practice ( Goldscheider Exams ST 2021 8210_101499_WS Introduction to Hydrogeology Goldscheider

Competence Certificate Written exam with 90 minutes

Prerequisites none

Industrial Engineering and Management M.Sc. 454 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Microsystem Technology I [T-MACH-105182]

T 7.212 Course: Introduction to Microsystem Technology I [T-MACH-105182]

Responsible: Dr. Vlad Badilita Dr. Mazin Jouda Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: M-ETIT-101158 - Sensor Technology I M-MACH-101287 - Microsystem Technology

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 2141861 Introduction to Microsystem 2 SWS Lecture / 🧩 Korvink, Badilita Technology I Exams ST 2021 76-T-MACH-105182 Introduction to Microsystem Technology I Korvink, Badilita WT 21/22 76-T-MACH-105182 Introduction to Microsystem Technology I Korvink, Badilita

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written examination (60 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Introduction to Microsystem Technology I V Lecture (V) 2141861, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Literature Mikrosystemtechnik für Ingenieure, W. Menz und J. Mohr, VCH Verlagsgesellschaft, Weinheim 2005 M. Madou Fundamentals of Microfabrication Taylor & Francis Ltd.; Auflage: 3. Auflage. 2011

Industrial Engineering and Management M.Sc. 455 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Microsystem Technology II [T-MACH-105183]

T 7.213 Course: Introduction to Microsystem Technology II [T-MACH-105183]

Responsible: Dr. Mazin Jouda Prof. Dr. Jan Gerrit Korvink Organisation: KIT Department of Mechanical Engineering

Part of: M-ETIT-101158 - Sensor Technology I M-MACH-101287 - Microsystem Technology

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 2142874 Introduction to Microsystem 2 SWS Lecture / 🖥 Korvink, Badilita Technology II Exams ST 2021 76-T-MACH-105183 Introduction to Microsystem Technology II Korvink, Badilita WT 21/22 76-T-MACH-105183 Introduction to Microsystem Technology II Korvink, Badilita

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written examination (60 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Introduction to Microsystem Technology II V Lecture (V) 2142874, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content - Introduction in Nano- and Microtechnologies - Lithography - LIGA-technique - Mechanical microfabrication - Patterning with lasers - Assembly and packaging - Microsystems

Organizational issues Topic: Grundlagen der Mikrosystemtechnik II (MST II) SS 21 Time: Thursdays 14:00 - 15:30

Join Zoom Meeting https://kit-lecture.zoom.us/j/66193228123?pwd=eEpTTFJoNzY5ZktRMG5GTEg3bExmdz09

Meeting ID: 661 9322 8123 Passcode: 424794

Literature Menz, W., Mohr, J., O. Paul: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 2005 M. Madou Fundamentals of Microfabrication Taylor & Francis Ltd.; Auflage: 3. Auflage. 2011

Industrial Engineering and Management M.Sc. 456 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Sensory Analysis with Practice [T-CIWVT-111534]

T 7.214 Course: Introduction to Sensory Analysis with Practice [T-CIWVT-111534]

Responsible: Jun.-Prof. Dr. Katharina Scherf Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101119 - Specialization in Food Process Engineering

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each summer term 1

Events

ST 2021 6630 Einführung in die Sensorik mit 1 SWS Lecture / 🖥 Scherf Übungen WT 21/22 6630 1 SWS Lecture Scherf Exams ST 2021 7220016 Introduction to Sensory Analysis with Practice Scherf

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Industrial Engineering and Management M.Sc. 457 Module Handbook as of 30/09/2021 7 COURSES Course: Introduction to Stochastic Optimization [T-WIWI-106546]

T 7.215 Course: Introduction to Stochastic Optimization [T-WIWI-106546]

Responsible: Prof. Dr. Steffen Rebennack Organisation: KIT Department of Economics and Management Part of: M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2550470 Einführung in die Stochastische 2 SWS Lecture / 🖥 Rebennack Optimierung

ST 2021 2550471 Übung zur Einführung in die 1 SWS Practice / 🖥 Rebennack, Sinske Stochastische Optimierung

ST 2021 2550474 Rechnerübung zur Einführung in die 2 SWS Practice / 🖥 Rebennack, Sinske Stochastische Optimierung Exams ST 2021 7900311 Introduction to Stochastic Optimization Rebennack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (open book exam). The exam takes place in every semester.

Prerequisites None.

Industrial Engineering and Management M.Sc. 458 Module Handbook as of 30/09/2021 7 COURSES Course: IoT Platform for Engineering [T-MACH-106743]

T 7.216 Course: IoT Platform for Engineering [T-MACH-106743]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 1

Events ST 2021 2123352 IoT platform for engineering 3 SWS Project (P / 🧩 Ovtcharova, Maier WT 21/22 2123352 IoT platform for engineering 3 SWS / 🧩 Ovtcharova, Maier Exams ST 2021 76-T-MACH-106743 IoT platform for engineering Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Assessment of another type (graded), procedure see webpage. Number of participants limited to 20 people. There is a participant selection process.

Below you will find excerpts from events related to this course:

IoT platform for engineering V Project (PRO) 2123352, SS 2021, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content Industry 4.0, IT systems for fabrication and assembly, process modelling and execution, project work in teams, practice-relevant I4.0 problems, in automation, manufacturing industry and service. Students can

• map and analyze processes in the context of Industry 4.0 with special methods of process modelling • collaboratively grasp practical I4.0 issues using existing hardware and software and work out solutions for a continuous improvement process in a team • prototypically implement the self-developed solution proposal with the given IT systems and the existing hardware equipment and finally present the results

Organizational issues Siehe Homepage zur Lehrveranstaltung

Literature Keine / None

IoT platform for engineering V 2123352, WS 21/22, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content Industry 4.0, IT systems for fabrication and assembly, process modelling and execution, project work in teams, practice-relevant I4.0 problems, in automation, manufacturing industry and service. Students can

• map and analyze processes in the context of Industry 4.0 with special methods of process modelling • collaboratively grasp practical I4.0 issues using existing hardware and software and work out solutions for a continuous improvement process in a team • prototypically implement the self-developed solution proposal with the given IT systems and the existing hardware equipment and finally present the results

Industrial Engineering and Management M.Sc. 459 Module Handbook as of 30/09/2021 7 COURSES Course: IoT Platform for Engineering [T-MACH-106743]

Literature Keine / None

Industrial Engineering and Management M.Sc. 460 Module Handbook as of 30/09/2021 7 COURSES Course: IT-Based Road Design [T-BGU-101804]

T 7.217 Course: IT-Based Road Design [T-BGU-101804]

Responsible: Dr.-Ing. Matthias Zimmermann Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101066 - Safety, Computing and Law in Highway Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 6233901 DV-gestützter Straßenentwurf 2 SWS Lecture / Practice ( / Zimmermann 🗣 Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oram exam with 15 minutes

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 461 Module Handbook as of 30/09/2021 7 COURSES Course: IT-Fundamentals of Logistics [T-MACH-105187]

T 7.218 Course: IT-Fundamentals of Logistics [T-MACH-105187]

Responsible: Prof. Dr.-Ing. Frank Thomas Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 3

Events ST 2021 2118184 IT-Fundamentals of Logistics: 2 SWS Lecture / 🧩 Thomas Opportunities for Digital Transformation Exams ST 2021 76-T-MACH-105187 IT-Fundamentals of Logistics Furmans, Mittwollen, Thomas

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The success control takes place in form of a written examination during the semester break (according to §4(2), 1 SPO). If the number of participants is low, an oral examination (according to §4 (2), 2 SPO) may also be offered.

Prerequisites none

Annotation 1) Detailed script can be downloaded online (www.tup.com), updated and enhanced annually. 2) CD-ROM with chapters and exercises at the end of the semester available from the lecturer, also updated and enhanced annually.

Below you will find excerpts from events related to this course:

IT-Fundamentals of Logistics: Opportunities for Digital Transformation V Lecture (V) 2118184, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 462 Module Handbook as of 30/09/2021 7 COURSES Course: Joint Entrepreneurship Summer School [T-WIWI-109064]

T 7.219 Course: Joint Entrepreneurship Summer School [T-WIWI-109064]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon)

Type Credits Grading scale Recurrence Version Examination of another type 6 Grade to a third Irregular 1

Events

ST 2021 2545021 Joint Entrepreneurship School 4 SWS Seminar / 🖥 Kleinn, Mohammadi, Terzidis Exams ST 2021 7900346 Joint Entrepreneurship Summer School Terzidis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The learning control of the program (Summer School) consists of two parts: A) Investor Pitch: Based on a presentation (investor pitch) in front of a jury, the insights gained and developed during the course of the event are presented and the business idea presented. Among other things, the presentation performance of the team, the structured content and the logical consistency of the business idea are evaluated. The exact evaluation criteria will be announced in the course. B) Written elaboration: The second part of the assessment is a written report. The iterative knowledge gain of the entire event is systematically logged and can be further supplemented by the contents of the presentation. The report documents key action steps, applied methods, findings, market analyzes and interviews and prepares them in writing. The exact structure and requirements will be announced in the course. The grade consists of 50% presentation performance and 50% written preparation.

Prerequisites The Summer School is aimed at master students of KIT. Prerequisite is the participation in the selection process.

Recommendation We recommend basic business knowledge, the lecture Entrepreneurship as well as openness and interest in intercultural exchange. Solid knowledge of the English language is an advantage.

Annotation The working language during the Summer School is English. A one-week stay in China is part of the Summer School.

Industrial Engineering and Management M.Sc. 463 Module Handbook as of 30/09/2021 7 COURSES Course: Judgment and Decision Making [T-WIWI-111099]

T 7.220 Course: Judgment and Decision Making [T-WIWI-111099]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-105312 - Marketing and Sales Management M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Expansion Version Written examination 4,5 Grade to a third Each winter term 1 terms 1

Events

WT 21/22 2540440 Judgment and Decision Making 3 SWS Lecture / 🖥 Scheibehenne Exams ST 2021 7900322 Judgment and Decision Making Scheibehenne

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam (90min) at the end of the Semester

Annotation The judgments and decisions that we make can have long ranging and important consequences for our (financial) well-being and individual health. Hence, the goal of this lecture is to gain a better understanding of how people make judgments and decisions and the factors that influences their behavior. We will look into simple heuristics and mental shortcuts that decision makers use to navigate their environment, in particular so in an economic context. Following this the lecture will provide an overview into social and emotional influences on decision making. In the second half of the semester we will look into some more specific topics including self-control, nudging, and food choice. The last part of the lecture will focus on risk communication and risk perception. We will address these questions from an interdisciplinary perspective at the intersection of Psychology, Behavioral Economics, Marketing, Cognitive Science, and Biology. Across all topics covered in class, we will engage with basic theoretical work as well as with groundbreaking empirical research and current scientific debates. The workload of the class is 4.5 ECTS. This consists of 3 ETCS for the lecture and 1.5 ETCS for the Übung. Details about the Übung will be communicated at the first day of the class.

Below you will find excerpts from events related to this course:

Judgment and Decision Making V Lecture (V) 2540440, WS 21/22, 3 SWS, Language: English, Open in study portal Online

Content In this lecture, students will be introduced to fundamental theories and key insights on human judgment and decision making. Topics include decision making under uncertainty, choice biases, simple heuristics, risk perception and -communication, as well as social and emotional influences on decision making, to name but a few. In the Wintersemester 20/21 this class will be held online. The lecture videos will be available for download and there will be regular online meetings to discuss the topics. The lecture will be held in English.

Industrial Engineering and Management M.Sc. 464 Module Handbook as of 30/09/2021 7 COURSES Course: KD²Lab Hands-On Research Course: New Ways and Tools in Experimental Economics [T-WIWI-111109]

T 7.221 Course: KD²Lab Hands-On Research Course: New Ways and Tools in Experimental Economics [T-WIWI-111109]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101446 - Market Engineering M-WIWI-103118 - Data Science: Data-Driven User Modeling M-WIWI-104080 - Designing Interactive Information Systems

Type Credits Grading scale Recurrence Expansion Version Examination of another type 4,5 Grade to a third Each summer term 1 terms 1

Exams ST 2021 7900368 KD²Lab Hands-On Research Course: New Ways and Tools in Weinhardt Experimental Economics

Competence Certificate Non exam assessment. Grading will be based on a continuous basis throughout the semester. The assessment consists of:

• A written paper, and • a group presentation with subsequent discussion and question and answer session of 30 minutes.

For particularly active and constructive participation in the discussions of other papers during the final presentation, a bonus of one grade level (0.3 or 0.4) can be achieved on the passed exam. Details on the grading will be announced at the beginning of the event.

Annotation Due to the laboratory capacity and in order to ensure an optimal supervision of the project groups, the number of participants is limited. Places are allocated according to preferences and suitability for the topics. In particular, previous knowledge in the field of experimental economics plays a role. The course will be offered starting in the summer semester 2021.

Industrial Engineering and Management M.Sc. 465 Module Handbook as of 30/09/2021 7 COURSES Course: Knowledge Discovery [T-WIWI-102666]

T 7.222 Course: Knowledge Discovery [T-WIWI-102666]

Responsible: Michael Färber Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 2

Events WT 21/22 2511302 Knowledge Discovery 2 SWS Lecture Färber WT 21/22 2511303 Exercises to Knowledge Discovery 1 SWS Practice Färber, Saier Exams ST 2021 7900039 Knowledge Discovery (Registration until 12 July 2021) Färber WT 21/22 7900013 Knowledge Discovery Färber

Competence Certificate The assessment consists of an 1h written exam following §4, Abs. 2, 1 of the examination regulation. Students can be awarded a bonus on their final grade if they successfully complete special assignments.

Prerequisites None

Below you will find excerpts from events related to this course:

Knowledge Discovery V Lecture (V) 2511302, WS 21/22, 2 SWS, Language: English, Open in study portal

Content The lecture gives an overview of approaches of machine learning and data mining for knowledge acquisition from large data sets. These are examined especially with respect to algorithms, applicability to different data representations and the use in real application scenarios. Knowledge Discovery is an established research area with a large community that investigates methods for discovering patterns and regularities in large amounts of data, including unstructured text. A variety of methods exist to extract patterns and provide previously unknown insights. This information can be predictive or descriptive. The lecture gives an overview of Knowledge Discovery. Specific techniques and methods, challenges and current and future research topics in this research area will be taught. Contents of the lecture cover the entire machine learning and data mining process with topics on supervised and unsupervised learning and empirical evaluation. Covered learning methods range from classical approaches like decision trees, support vector machines and neural networks to selected approaches from current research. Learning problems considered include feature vector-based learning and text mining. Learning obectives: Students

• know fundamentals of Machine Learning, Data Mining and Knowledge Discovery. • are able to design, train and evaluate adaptive systems. • conduct Knowledge Discovery projects in regards to algorithms, representations and applications.

Workload:

• The total workload for this course is approximately 135 hours • Time of presentness: 45 hours • Time of preperation and postprocessing: 60 hours • Exam and exam preperation: 30 hours

Industrial Engineering and Management M.Sc. 466 Module Handbook as of 30/09/2021 7 COURSES Course: Knowledge Discovery [T-WIWI-102666]

Literature

• T. Hastie, R. Tibshirani, J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (http:// www-stat.stanford.edu/~tibs/ElemStatLearn/) • T. Mitchell. Machine Learning. 1997 • M. Berhold, D. Hand (eds). Intelligent Data Analysis - An Introduction. 2003 • P. Tan, M. Steinbach, V. Kumar: Introduction to Data Mining, 2005, Addison Wesley

Exercises to Knowledge Discovery V Practice (Ü) 2511303, WS 21/22, 1 SWS, Language: English, Open in study portal

Content The exercises are based on the lecture Knowledge Discovery. Several exercises are covered, which take up and discuss in detail the topics covered in the lecture Knowledge Discovery. Practical examples are demonstrated to the students to enable a knowledge transfer of the theoretical aspects learned into practical application. Contents of the lecture cover the entire machine learning and data mining process with topics on monitored and unsupervised learning processes and empirical evaluation. The learning methods covered range from classical approaches like decision trees, support vector machines and neural networks to selected approaches from current research. Learning problems considered include feature vector-based learning and text mining. Learning objectives: Students

• know fundamentals of Machine Learning, Data Mining and Knowledge Discovery. • are able to design, train and evaluate adaptive systems. • conduct Knowledge Discovery projects in regards to algorithms, representations and applications.

Literature

• T. Hastie, R. Tibshirani, J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (http:// www-stat.stanford.edu/~tibs/ElemStatLearn/) • T. Mitchell. Machine Learning. 1997 • M. Berhold, D. Hand (eds). Intelligent Data Analysis - An Introduction. 2003 • P. Tan, M. Steinbach, V. Kumar: Introduction to Data Mining, 2005, Addison Wesley

Industrial Engineering and Management M.Sc. 467 Module Handbook as of 30/09/2021 7 COURSES Course: Laboratory Laser Materials Processing [T-MACH-102154]

T 7.223 Course: Laboratory Laser Materials Processing [T-MACH-102154]

Responsible: Dr.-Ing. Johannes Schneider Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Completed coursework 4 pass/fail Each term 2

Events ST 2021 2183640 Laboratory "Laser Materials 3 SWS Practical course / 🧩 Schneider, Pfleging Processing" WT 21/22 2183640 Laboratory "Laser Materials 3 SWS Practical course / 🧩 Schneider, Pfleging Processing" Exams ST 2021 76-T-MACH-102154 Laboratory Laser Materials Processing Schneider

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a colloquium for every single experiment and an overall final colloquium incl. an oral presentation of 20 min.

Prerequisites None

Recommendation Basic knowledge of physics, chemistry and material science is assumed.

Below you will find excerpts from events related to this course:

Laboratory "Laser Materials Processing" V Practical course (P) 2183640, SS 2021, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 468 Module Handbook as of 30/09/2021 7 COURSES Course: Laboratory Laser Materials Processing [T-MACH-102154]

Content The laboratory compromises 8 half-day experiments, which address the following laser processing topics of metals, ceramics and polymers: • safety aspects • surface hardening and remelting • melt and reactive cutting • surface modification by dispersing or alloying • welding • surface texturing • metrology There are used CO2-, excimer-, Nd:YAG- and high power diode-laser sources within the laboratory. The student

• can describe the influence of laser, material and process parameters and can choose suitable parameters for the most important methods of laser-based processing in automotive engineering. • can explain the requirements for safe handling of laser radiation and for the design of safe laser systems.

Basic knowledge of physics, chemistry and material science is assumed.

The attendance to one of the courses Physical Basics of Laser Technology (2181612) or Laser Application in Automotive Engineering (2182642) is strongly recommended. regular attendance: 34 hours self-study: 86 hours The assessment consists of a colloquium for every single experiment and an overall final colloquium incl. an oral presentation of 20 min.

Organizational issues Bereits ausgebucht! Anmeldung per Email an [email protected] Das Praktikum findet in Kleingruppen am IAM-CMS (CS) bzw. IAM-AWP (CN) statt! Die Termine werden zu Beginn des Semesters bekannt gegeben.

Literature F. K. Kneubühl, M. W. Sigrist: Laser, 2008, Vieweg+Teubner T. Graf: Laser - Grundlagen der Laserstrahlquellen, 2009, Vieweg-Teubner Verlag R. Poprawe: Lasertechnik für die Fertigung, 2005, Springer H. Hügel, T. Graf: Laser in der Fertigung, 2009, Vieweg+Teubner J. Eichler, H.-J. Eichler: Laser - Bauformen, Strahlführung, Anwendungen, 2006, Springer W.T. Silfvast: Laser Fundamentals, 2008, Cambrigde University Press W.M. Steen: Laser Materials Processing, 2010, Springer

Laboratory "Laser Materials Processing" V Practical course (P) 2183640, WS 21/22, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 469 Module Handbook as of 30/09/2021 7 COURSES Course: Laboratory Laser Materials Processing [T-MACH-102154]

Content The laboratory compromises 8 half-day experiments, which address the following laser processing topics of metals, ceramics and polymers: • safety aspects • surface hardening and remelting • melt and reactive cutting • surface modification by dispersing or alloying • welding • surface texturing • metrology There are used CO2-, excimer-, Nd:YAG- and high power diode-laser sources within the laboratory. The student

• can describe the influence of laser, material and process parameters and can choose suitable parameters for the most important methods of laser-based processing in automotive engineering. • can explain the requirements for safe handling of laser radiation and for the design of safe laser systems.

Basic knowledge of physics, chemistry and material science is assumed.

The attendance to one of the courses Physical Basics of Laser Technology (2181612) or Laser Application in Automotive Engineering (2182642) is strongly recommended. regular attendance: 34 hours self-study: 86 hours The assessment consists of a colloquium for every single experiment and an overall final colloquium incl. an oral presentation of 20 min.

Organizational issues Maximal 12 Teilnehmer/innen! Aktuell sind bereist alle Plätze vergeben! Registrierung für Nachrückliste möglich per Email an [email protected] Praktikum findet in Kleingruppen semesterbegleitend (dienstags bzw. mittwochs, ganztägig) bzw. als Blockpraktikum auf dem Campus Nord am IAM-AWP (Geb. 681) und auf dem Campus Süd am IAM-CMS (Geb. 30.48) statt! Termine werden mit den Teilnehmern/innen direkt abgestimmt.

Literature F. K. Kneubühl, M. W. Sigrist: Laser, 2008, Vieweg+Teubner T. Graf: Laser - Grundlagen der Laserstrahlquellen, 2009, Vieweg-Teubner Verlag R. Poprawe: Lasertechnik für die Fertigung, 2005, Springer H. Hügel, T. Graf: Laser in der Fertigung, 2009, Vieweg+Teubner J. Eichler, H.-J. Eichler: Laser - Bauformen, Strahlführung, Anwendungen, 2006, Springer

Industrial Engineering and Management M.Sc. 470 Module Handbook as of 30/09/2021 7 COURSES Course: Laboratory Production Metrology [T-MACH-108878]

T 7.224 Course: Laboratory Production Metrology [T-MACH-108878]

Responsible: Dr.-Ing. Benjamin Häfner Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering

Type Credits Grading scale Recurrence Version Examination of another type 5 Grade to a third Each summer term 2

Events

ST 2021 2150550 Laboratory Production 3 SWS Practical course / 🗣 Häfner Metrology Exams ST 2021 76-T-MACH-108878 Laboratory Production Metrology Häfner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative Test Achievement: Group presentation of 15 min at the beginning of each experiment and evaluation of the participation during the experiments and Oral Exam (15 min)

Prerequisites none

Annotation For organizational reasons the number of participants for the course is limited. Hence al selection process will take place. Applications are made via the homepage of wbk (http://www.wbk.kit.edu/studium-und-lehre.php).

Below you will find excerpts from events related to this course:

Laboratory Production Metrology V Practical course (P) 2150550, SS 2021, 3 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 471 Module Handbook as of 30/09/2021 7 COURSES Course: Laboratory Production Metrology [T-MACH-108878]

Content During this course, students get to know measurement systems that are used in a production system. In the age of Industry 4.0, sensors are becoming more important. Therefore, the application of in-line measurement technology such as machine vision and non-destructive testing is focussed. Additionally, laboratory based measurement technologies such as computed tomography are addressed. The students learn the theoretical background as well as practical applications for industrial examples. The students use sensors by themselves during the course. Additionally, they are trained on how to integrate sensors in production processes and how to analyze measurement data with suitable software. The following topics are addressed:

• Classification and examples for different measurement technologies in a production environment • Machine vision with optical sensors • Information fusion based on optical measurements • Robot-based optical measurements • Non-destructive testing by means of acoustic measurements • Coodinate measurement technology • Industrial computed tomography • Measurement uncertainty evaluation • Analysis of production data by means of data mining

Learning Outcomes: The students …

• are able to name, describe and mark out different measurement technologies that are relevant in a production environment. • are able to conduct measurements with the presented in-line and laboratory based measurement systems. • are able to analyze measurement results and asses the measurement uncertainty of these. • are able to deduce whether a work piece fulfills quality relevant specifications by analysing measurement results. • are able to use the presented measurement technologies for a new task.

Workload: regular attendance: 31,5 hours self-study: 88,5 hours

Organizational issues Die Lehrveranstaltung findet stets dienstags nachmittags statt. Aus organisatorischen Gründen ist die Teilnehmerzahl für die Lehrveranstaltung begrenzt. Infolgedessen wird ein Auswahlprozess stattfinden. Die Bewerbung erfolgt über die Homepage des wbk (http://www.wbk.kit.edu/studium-und-lehre.php). The course always takes place on Tuesdays in the afternoon. For organizational reasons the number of participants for the course is limited. Hence al selection process will take place. Applications are made via the homepage of wbk (http://www.wbk.kit.edu/studium-und-lehre.php).

Literature Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt. Ebenso wird auf gängie Fachliteratur verwiesen.

Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/). Additional reference to literature will be provided, as well.

Industrial Engineering and Management M.Sc. 472 Module Handbook as of 30/09/2021 7 COURSES Course: Laboratory Work Water Chemistry [T-CIWVT-103351]

T 7.225 Course: Laboratory Work Water Chemistry [T-CIWVT-103351]

Responsible: Dr. Gudrun Abbt-Braun Prof. Dr. Harald Horn Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101121 - Water Chemistry and Water Technology I

Type Credits Grading scale Version Examination of another type 4 Grade to a third 1

Events WT 21/22 22664 Practical Course: Water Quality and 2 SWS Practical course Horn, Abbt-Braun, und Water Assessment Mitarbeiter Exams ST 2021 7232002 Laboratory Work Water Chemistry Horn, Abbt-Braun

Prerequisites none

Industrial Engineering and Management M.Sc. 473 Module Handbook as of 30/09/2021 7 COURSES Course: Large-scale Optimization [T-WIWI-106549]

T 7.226 Course: Large-scale Optimization [T-WIWI-106549]

Responsible: Prof. Dr. Steffen Rebennack Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2550475 Large-Scale Optimization 2 SWS Lecture / 🖥 Rebennack ST 2021 2550476 Übung zu Large-Scale Optimization 1 SWS Practice / 🖥 Rebennack, Sinske ST 2021 2550477 Rechnerübung zu Large-scale 2 SWS Practice / 🖥 Rebennack, Sinske Optimization Exams ST 2021 7900310 Large-scale Optimization Rebennack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (open book exam). The exam takes place in every semester.

Prerequisites None.

Industrial Engineering and Management M.Sc. 474 Module Handbook as of 30/09/2021 7 COURSES Course: Laser in Automotive Engineering [T-MACH-105164]

T 7.227 Course: Laser in Automotive Engineering [T-MACH-105164]

Responsible: Dr.-Ing. Johannes Schneider Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 2

Events

ST 2021 2182642 Laser in automotive engineering 2 SWS Lecture / 🖥 Schneider Exams ST 2021 76-T-MACH-105164 Laser in Automotive Engineering Schneider WT 21/22 76-T-MACH-105164 Laser in Automotive Engineering Schneider

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination (30 min) no tools or reference materials

Prerequisites It is not possible, to combine this brick with brick Physical Basics of Laser Technology [T-MACH-109084] and brick Physical Basics of Laser Technology [T-MACH-102102]

Recommendation preliminary knowlegde in mathematics, physics and materials science

Below you will find excerpts from events related to this course:

Laser in automotive engineering V Lecture (V) 2182642, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 475 Module Handbook as of 30/09/2021 7 COURSES Course: Laser in Automotive Engineering [T-MACH-105164]

Content Based on a short description of the physical basics of laser technology the lecture reviews the most important high power lasers and their various applications in automotive engineering. Furthermore the application of laser light in metrology and safety aspects will be addressed.

• physical basics of laser technology • laser beam sources (Nd:YAG-, CO2-, high power diode-laser) • beam properties, guiding and shaping • basics of materials processing with lasers • laser applications in automotive engineering • economical aspects • savety aspects

The student

• can explain the principles of light generation, the conditions for light amplification as well as the basic structure and function of Nd:YAG-, CO2- and high power diode-laser sources. • can describe the most important methods of laser-based processing in automotive engineering and illustrate the influence of laser, material and process parameters • can analyse manufacturing problems and is able to choose a suitable laser source and process parameters. • can explain the requirements for safe handling of laser radiation and for the design of safe laser systems.

Basic knowledge of physics, chemistry and material science is assumed. It is not possible, to combine this lecture with the lecture Physical basics of laser technology [2181612]. regular attendance: 22,5 hours self-study: 97,5 hours oral examination (ca. 30 min) no tools or reference materials

Organizational issues Bitte nutzen Sie die Vorlesungsaufzeichnung aus dem SS 19! Bei Interesse bitte melden bei [email protected]! Aktuelle Infos werden über ILIAS verteilt!

Literature F. K. Kneubühl, M. W. Sigrist: Laser, 2008, Vieweg+Teubner H. Hügel, T. Graf: Laser in der Fertigung, 2009, Vieweg+Teubner T. Graf: Laser - Grundlagen der Laserstrahlquellen, 2009, Vieweg-Teubner Verlag R. Poprawe: Lasertechnik für die Fertigung, 2005, Springer J. Eichler, H.-J. Eichler: Laser - Bauformen, Strahlführung, Anwendungen, 2006, Springer

Industrial Engineering and Management M.Sc. 476 Module Handbook as of 30/09/2021 7 COURSES Course: Laser Physics [T-ETIT-100741]

T 7.228 Course: Laser Physics [T-ETIT-100741]

Responsible: Prof. Dr. Marc Eichhorn Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-MACH-101292 - Microoptics M-MACH-101295 - Optoelectronics and Optical Communication

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2301480 Laserphysics 2 SWS Lecture Eichhorn WT 21/22 2301481 Exercise for 2301480 Laserphysics 1 SWS Practice Eichhorn

Prerequisites none

Industrial Engineering and Management M.Sc. 477 Module Handbook as of 30/09/2021 7 COURSES Course: Laws concerning Traffic and Roads [T-BGU-106615]

T 7.229 Course: Laws concerning Traffic and Roads [T-BGU-106615]

Responsible: Hon.-Prof. Dr. Dietmar Hönig Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101066 - Safety, Computing and Law in Highway Engineering

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 6233803 Verkehrs-, Planungs- und 2 SWS Lecture / 🖥 Hönig Wegerecht

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 60 min.

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 478 Module Handbook as of 30/09/2021 7 COURSES Course: Lean Construction [T-BGU-108000]

T 7.230 Course: Lean Construction [T-BGU-108000]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each term 1

Events WT 21/22 6241901 Lean Construction 4 SWS Lecture / Practice ( Haghsheno, Mitarbeiter/innen Exams ST 2021 8246108000 Lean Construction Haghsheno

Competence Certificate written exam, 70 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 479 Module Handbook as of 30/09/2021 7 COURSES Course: Learning Factory “Global Production“ [T-MACH-105783]

T 7.231 Course: Learning Factory “Global Production“ [T-MACH-105783]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Examination of another type 6 Grade to a third Each winter term 4

Events WT 21/22 2149612 Learning Factory “Global 4 SWS / 🧩 Lanza Production“ Exams ST 2021 76-T-MACH-105783 Learning Factory “Global Production“ Lanza

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative test achievement (graded):

• Knowledge acquisition in the context of the seminar (4 achievements 20 min each ) with weighting 40%. • Interaction between participants with weighting 15%. • Scientific colloquium (in groups of 3 students approx. 45 min each) with weighting 45%.

Prerequisites none

Annotation For organisational reasons, the number of participants for the course is limited to 20. As a result, a selection process will take place. Applications must be submitted via the wbk homepage (http://www.wbk.kit.edu/lernfabrik.php). Due to the limited number of participants, advance registration is required. Students should have previous knowledge in at least one of the following areas:

• Integrated Production Planning • Global Production and Logistics • Quality Management

Below you will find excerpts from events related to this course:

Learning Factory “Global Production“ V 2149612, WS 21/22, 4 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 480 Module Handbook as of 30/09/2021 7 COURSES Course: Learning Factory “Global Production“ [T-MACH-105783]

Content The learning factory “Global Production“ serves as a modern teaching environment for the challenges of global production. To make this challenges come alive, students can run a production of electric motors under real production conditions. The course is divided into e-learning units and presence dates. The e-learning units help to learn essential basics and to immerse themselves in specific topics (e.g. selection of location, supplier selection and planning of production networks). The focus of the presence appointments is the case-specific application of relevant methods for planning and control of production systems that are suitable for the location. In addition to traditional methods and tools to organize lean production systems (e.g. Kanban and JIT/ JIS, Line Balancing) the lecture in particular deals with site-specific quality assurance and scalable automation. Essential methods for quality assurance in complex production systems are taught and brought to practical experience by a Six Sigma project. In the area of scalable automation, it is important to find solutions for the adaption of the level of automation of the production system to the local production conditions (e.g. automated workpiece transport, integration of lightweight robots for process linking) and to implement them physically. At the same time safety concepts should be developed and implemented as enablers for human-robot collaboration. The course also includes an excursion to the production plant for the manufacturing of electric motors of an industrial partner. Main focus of the lecture:

• site selection • site-specific factory planning • site-specific quality assurance • scalable automation • supplier selection

Learning Outcomes: The students are able to …

• evaluate and select alternative locations using appropriate methods. • use methods and tools of lean management to plan and manage production systems that are suitable for the location. • use the Six Sigma method and apply goal-oriented process management. • select an appropriate level of automation of the production units based on quantitative variables. • make use of well-established methods for the evaluation and selection of suppliers. • apply methods for planning a global production network depending on company-specific circumstances to sketch a suitable network and classify and evaluating it according to specific criteria. • apply the learned methods and approaches with regard to problem solving in a global production environment and able to reflect their effectiveness.

Workload: e-Learning: ~ 24 h regular attendence: ~ 36 h self-study: ~ 60 h

Organizational issues Termine werden über die Institutshomepage bekanntgegeben. Aus organisatorischen Gründen ist die Teilnehmerzahl für die Lehrveranstaltung auf 20 Teilnehmer begrenzt. Infolgedessen wird ein Auswahlprozess stattfinden. Die Bewerbung erfolgt über die Homepage des wbk (http://www.wbk.kit.edu/studium-und- lehre.php) Aufgrund der begrenzten Teilnehmerzahl ist eine Voranmeldung erforderlich. Die Studierenden sollten Vorkenntnisse in mindestens einem der folgenden Bereiche haben:

• Integrierte Produktionsplanung • Globale Produktion und Logistik • Qualitätsmanagement

For organisational reasons, the number of participants for the course is limited to 20. As a result, a selection process will take place. Applications must be submitted via the wbk homepage (http://www.wbk.kit.edu/studium-und-lehre.php). Due to the limited number of participants, advance registration is required. Students should have previous knowledge in at least one of the following areas:

• Integrated Production Planning • Global Production and Logistics • Quality Management

Industrial Engineering and Management M.Sc. 481 Module Handbook as of 30/09/2021 7 COURSES Course: Learning Factory “Global Production“ [T-MACH-105783]

Literature Medien: E-Learning Plattform ilias, Powerpoint, Fotoprotokoll. Die Medien werden über ilias (https://ilias.studium.kit.edu/) bereitgestellt. Media: E-learning platform ilias, powerpoint, photo protocol. The media are provided through ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 482 Module Handbook as of 30/09/2021 7 COURSES Course: Liberalised Power Markets [T-WIWI-107043]

T 7.232 Course: Liberalised Power Markets [T-WIWI-107043]

Responsible: Prof. Dr. Wolf Fichtner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101451 - Energy Economics and Energy Markets M-WIWI-102808 - Digital Service Systems in Industry

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 2581998 Liberalised Power Markets 2 SWS Lecture Fichtner, Kraft Exams ST 2021 7900253 Liberalised Power Markets Fichtner

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Liberalised Power Markets V Lecture (V) 2581998, WS 21/22, 2 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 483 Module Handbook as of 30/09/2021 7 COURSES Course: Liberalised Power Markets [T-WIWI-107043]

Content 1. Power markets in the past, now and in future 2. Designing liberalised power markets 2.1. Unbundling Dimensions of liberalised power markets 2.2. Central dispatch versus markets without central dispatch 2.3. The short-term market model 2.4. The long-term market model 2.5. Market flaws and market failure 2.6. Regulation in liberalised markets 3. The power (sub)markets 3.1 Day-ahead market 3.2 Intraday market 3.3 (Long-term) Forwards and futures markets 3.4 Emission rights market 3.5 Market for ancillary services 3.6 The “market” for renewable energies 3.7 Future market segments 4. Grid operation and congestion management 4.1. Grid operation 4.2. Congestion management 5. Market power 5.1. Defining market power 5.2. Indicators of market power 5.3. Reducing market power 6. Future market structures in the electricity value chain 1. Power markets in the past, now and in future 2. Designing liberalised power markets 2.2. Unbundling Dimensions of liberalised power markets 2.3. Central dispatch versus markets without central dispatch 2.4. The short-term market model 2.5. The long-term market model 2.6. Market flaws and market failure 2.7. Regulation in liberalised markets 3. The power (sub)markets 3.1 Day-ahead market 3.2 Intraday market 3.3 (Long-term) Forwards and futures markets 3.4 Emission rights market 3.5 Market for ancillary services 3.6 The “market” for renewable energies 3.7 Future market segments 4. Grid operation and congestion management 4.1. Grid operation 4.2. Congestion management 5. Market power 5.1. Defining market power 5.2. Indicators of market power 5.3. Reducing market power 6. Future market structures in the electricity value chain

Industrial Engineering and Management M.Sc. 484 Module Handbook as of 30/09/2021 7 COURSES Course: Liberalised Power Markets [T-WIWI-107043]

Literature Weiterführende Literatur: Power System Economics; Steven Stoft, IEEE Press/Wiley-Interscience Press, 0-471-15040-1

Industrial Engineering and Management M.Sc. 485 Module Handbook as of 30/09/2021 7 COURSES Course: Life Cycle Assessment [T-WIWI-110512]

T 7.233 Course: Life Cycle Assessment [T-WIWI-110512]

Responsible: Prof. Dr. Frank Schultmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each winter term 1

Events

WT 21/22 2581995 Life Cycle Assessment 2 SWS Lecture / 🖥 Maier Exams ST 2021 7981995 Life Cycle Assessment Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral (30 minutes) or written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None.

Recommendation None

Below you will find excerpts from events related to this course:

Life Cycle Assessment V Lecture (V) 2581995, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content Introduction to life cycle assessment. The lecture describes structure and individual steps of life cycle assessment in detail.

Literature werden in der Veranstaltung bekannt gegeben

Industrial Engineering and Management M.Sc. 486 Module Handbook as of 30/09/2021 7 COURSES Course: Logistics and Supply Chain Management [T-MACH-110771]

T 7.234 Course: Logistics and Supply Chain Management [T-MACH-110771]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-105298 - Logistics and Supply Chain Management

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each summer term 2

Events

ST 2021 2118078 Logistics and Supply Chain 4 SWS Lecture / 🖥 Furmans, Alicke Management Exams ST 2021 76-T-MACH-110771 Logistics and Supply Chain Management Furmans, Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The success control takes place in form of a written examination (60 min) during the semester break (according to §4(2), 1 SPO). If the number of participants is low, an oral examination (according to §4 (2), 2 SPO) may also be offered.

Prerequisites None

Annotation The brick cannot be taken if one of the bricks "T-MACH-102089 – Logistics - Organisation, Design and Control of Logistic Systems" and "T-MACH-105181 – Supply Chain Management" has been taken.

Below you will find excerpts from events related to this course:

Logistics and Supply Chain Management V Lecture (V) 2118078, SS 2021, 4 SWS, Language: English, Open in study portal Online

Content In the lecture "Logistics and Supply Chain Management", comprehensive and well-founded fundamentals of crucial issues in logistics and supply chain management are presented. Furthermore, the interaction of different design elements of supply chains is emphasized. For this purpose, both qualitative and quantitative models are presented and applied. Additionally, methods for mapping and evaluating logistics systems and supply chains are described. The contents of the lecture are deepened in exercises and case studies and comprehension is partially reviewed in case studies. The contents will be illustrated, among other things, on the basis of supply chains in the automotive industry. Among others, the following topics are covered:

• Inventory Management • Forecasting • Bullwhip Effect • Supply Chain Segmentation and Collaboration • Key Performance Indicators • Supply Chain Risk Management • Production Logistics • Location Planning • Route Planning

It is intended to provide an interactive format in which students can also contribute (and work alone or in groups). Since logistics and supply chain management (also in times during and after Corona) requires working in an international environment and therefore many terms are derived from English, the lecture will be held in English.

Industrial Engineering and Management M.Sc. 487 Module Handbook as of 30/09/2021 7 COURSES Course: Long-Distance and Air Traffic [T-BGU-106301]

T 7.235 Course: Long-Distance and Air Traffic [T-BGU-106301]

Responsible: Bastian Chlond Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each term 1

Events WT 21/22 6232904 Fern- und Luftverkehr 2 SWS Lecture Chlond, Dozenten Exams ST 2021 8245106301 Long-distance and Air Traffic Chlond

Competence Certificate written exam, 60 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 488 Module Handbook as of 30/09/2021 7 COURSES Course: Machine Learning 1 - Basic Methods [T-WIWI-106340]

T 7.236 Course: Machine Learning 1 - Basic Methods [T-WIWI-106340]

Responsible: Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 3

Events WT 21/22 2511500 Machine Learning 1 - Fundamental 2 SWS Lecture Zöllner Methods WT 21/22 2511501 Exercises to Machine Learning 1 - 1 SWS Practice Zöllner, Daaboul, Fundamental Methods Polley Exams ST 2021 7900154 Machine Learning 1 - Basic Methods (Registration until 12 July 2021) Zöllner WT 21/22 7900076 Machine Learning 1 - Basic Methods Zöllner

Competence Certificate Depending on further pandemic developments, the exam will be offered either as an open-book exam, or as a written exam (60 min): The exam takes place every semester and can be repeated at every regular examination date.

Prerequisites None.

Below you will find excerpts from events related to this course:

Machine Learning 1 - Fundamental Methods V Lecture (V) 2511500, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The field of knowledge acquisition and machine learning is a rapidly expanding field of knowledge and the subject of numerous research and development projects. The acquisition of knowledge can take place in different ways. Thus a system can benefit from experiences already made, it can be trained, or it draws conclusions from extensive background knowledge. The lecture covers symbolic learning methods such as inductive learning (learning from examples, learning by observation), deductive learning (explanation-based learning) and learning from analogies, as well as sub-symbolic techniques such as neural networks, support vector machines and genetic algorithms. The lecture introduces the basic principles and structures of learning systems and examines the algorithms developed so far. The structure and operation of learning systems is presented and explained with some examples, especially from the fields of robotics and image processing. Learning obectives:

• Students acquire knowledge of the fundamental methods in the field of machine learning. • Students can classify, formally describe and evaluate methods of machine learning. • Students can use their knowledge to select suitable models and methods for selected problems in the field of of machine learning.

Industrial Engineering and Management M.Sc. 489 Module Handbook as of 30/09/2021 7 COURSES Course: Machine Learning 1 - Basic Methods [T-WIWI-106340]

Literature Die Foliensätze sind als PDF verfügbar Weiterführende Literatur

• Artificial Intelligence: A Modern Approach - Peter Norvig and Stuart J. Russell • Machine Learning - Tom Mitchell • Pattern Recognition and Machine Learning - Christopher M. Bishop • Reinforcement Learning: An Introduction - Richard S. Sutton and Andrew G. Barto • Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville

Weitere (spezifische) Literatur zu einzelnen Themen wird in der Vorlesung angegeben.

Industrial Engineering and Management M.Sc. 490 Module Handbook as of 30/09/2021 7 COURSES Course: Machine Learning 2 – Advanced Methods [T-WIWI-106341]

T 7.237 Course: Machine Learning 2 – Advanced Methods [T-WIWI-106341]

Responsible: Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics M-WIWI-101637 - Analytics and Statistics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2511502 Machine Learning 2 - Advanced 2 SWS Lecture / 🖥 Zöllner methods

ST 2021 2511503 Exercises for Machine Learning 2 - 1 SWS Practice / 🖥 Zöllner Advanced Methods Exams ST 2021 7900080 Machine Learning 2 – Advanced Methods (Registration until 12 July Zöllner 2021) WT 21/22 7900050 Machine Learning 2 – Advanced Methods Zöllner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the exam will be offered either as an open-book exam, or as a written exam (60 min). The exam takes place every semester and can be repeated at every regular examination date.

Prerequisites None.

Below you will find excerpts from events related to this course:

Machine Learning 2 - Advanced methods V Lecture (V) 2511502, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The subject area of machine intelligence and, in particular, machine learning, taking into account real challenges of complex application domains, is a rapidly expanding field of knowledge and the subject of numerous research and development projects. The lecture "Machine Learning 2" deals with advanced methods of machine learning such as semi-supervised and active learning, deep neural networks (deep learning), pulsed networks, hierarchical approaches, e.g. As well as dynamic, probabilistic relational methods. Another focus is the embedding and application of machine learning methods in real systems. The lecture introduces the latest basic principles as well as extended basic structures and elucidates previously developed algorithms. The structure and the mode of operation of the methods and methods are presented and explained by means of some application scenarios, especially in the field of technical (sub) autonomous systems (robotics, neurorobotics, image processing, etc.). Learning objectives:

• Students understand extended concepts of machine learning and their possible applications. • Students can classify, formally describe and evaluate methods of machine learning. • In detail, methods of machine learning can be embedded and applied in complex decision and inference systems. • Students can use their knowledge to select suitable models and methods of machine learning for existing problems in the field of machine intelligence.

Recommendations: Attending the lecture Machine Learning 1 or a comparable lecture is very helpful in understanding this lecture.

Industrial Engineering and Management M.Sc. 491 Module Handbook as of 30/09/2021 7 COURSES Course: Machine Learning 2 – Advanced Methods [T-WIWI-106341]

Literature Die Foliensätze sind als PDF verfügbar Weiterführende Literatur

• Artificial Intelligence: A Modern Approach - Peter Norvig and Stuart J. Russell • Machine Learning - Tom Mitchell • Pattern Recognition and Machine Learning - Christopher M. Bishop • Reinforcement Learning: An Introduction - Richard S. Sutton and Andrew G. Barto • Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville

Weitere (spezifische) Literatur zu einzelnen Themen wird in der Vorlesung angegeben.

Industrial Engineering and Management M.Sc. 492 Module Handbook as of 30/09/2021 7 COURSES Course: Machine Tools and High-Precision Manufacturing Systems [T-MACH-110963]

T 7.238 Course: Machine Tools and High-Precision Manufacturing Systems [T- MACH-110963]

Responsible: Prof. Dr.-Ing. Jürgen Fleischer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101286 - Machine Tools and Industrial Handling

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each winter term 1

Events WT 21/22 2149910 Machine Tools and High- 6 SWS Lecture / Practice ( / Fleischer Precision Manufacturing 🧩 Systems Exams ST 2021 76-T-MACH-110963-WING Machine Tools and High-Precision Manufacturing Systems Fleischer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written exam (120 minutes)

Prerequisites T-MACH-102158 - Machine Tools and Industrial Handling must not be commenced. T-MACH-109055 - Machine Tools and Industrial Handling must not be commenced. T-MACH-110962 - Machine Tools and High-Precision Manufacturing Systems must not be commenced.

Below you will find excerpts from events related to this course:

Machine Tools and High-Precision Manufacturing Systems V Lecture / Practice (VÜ) 2149910, WS 21/22, 6 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 493 Module Handbook as of 30/09/2021 7 COURSES Course: Machine Tools and High-Precision Manufacturing Systems [T-MACH-110963]

Content The lecture gives an overview of the construction, use and application of machine tools and high-precision manufacturing systems. In the course of the lecture a well-founded and practice-oriented knowledge for the selection, design and evaluation of machine tools and high-precision manufacturing systems is conveyed. First, the main components of the systems are systematically explained and their design principles as well as the integral system design are discussed. Subsequently, the use and application of machine tools and high-precision manufacturing systems will be demonstrated using typical machine examples. Based on examples from current research and industrial applications, the latest developments are discussed, especially concerning the implementation of Industry 4.0 and artificial intelligence. Guest lectures from industry round off the lecture with insights into practice. The individual topics are:

• Structural components of dynamic manufacturing Systems • Feed axes: High-precision positioning • Spindles of cutting machine Tools • Peripheral Equipment • Machine control unit • Metrological Evaluation • Maintenance strategies and condition Monitoring • Process Monitoring • Development process for machine tools and high-precision manufacturing Systems • Machine examples

Learning Outcomes: The students …

• are able to assess the use and application of machine tools and high-precision manufacturing systems and to differentiate between them in terms of their characteristics and design. • can describe and discuss the essential elements of machine tools and high-precision manufacturing systems (frame, main spindle, feed axes, peripheral equipment, control unit). • are able to select and dimension the essential components of machine tools and high-precision manufacturing systems. • are capable of selecting and evaluating machine tools and high-precision manufacturing systems according to technical and economic criteria.

Workload: MACH: regular attendance: 63 hours self-study: 177 hours WING/TVWL: regular attendance: 63 hours self-study: 207 hours

Organizational issues Start: 18.10.2021 Vorlesungstermine montags und mittwochs, Übungstermine donnerstags. Bekanntgabe der konkreten Übungstermine erfolgt in der ersten Vorlesung. Lectures on Mondays and Wednesdays, tutorial on Thursdays. The tutorial dates will announced in the first lecture.

Literature Medien: Skript zur Veranstaltung wird über Ilias (https://ilias.studium.kit.edu/) bereitgestellt. Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 494 Module Handbook as of 30/09/2021 7 COURSES Course: Management Accounting 1 [T-WIWI-102800]

T 7.239 Course: Management Accounting 1 [T-WIWI-102800]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: M-WIWI-101498 - Management Accounting

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2579900 Management Accounting 1 2 SWS Lecture / 🖥 Wouters ST 2021 2579901 Übung zu Management Accounting 2 SWS Practice / 🖥 Riar 1 (Bachelor)

ST 2021 2579902 2 SWS Practice / 🖥 Riar Exams ST 2021 79-2579900-B Management Accounting 1 (Bachelor) Wouters ST 2021 79-2579900-M Management Accounting 1 (Mastervorzug und Master) Wouters

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 120-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Annotation Students in the Bachelor' program can only take the related tutorial and examination. Students in the Master's program (and Bachelor's students who are already completing examinations for their Master's program) can only take the related tuturial and examination.

Below you will find excerpts from events related to this course:

Management Accounting 1 V Lecture (V) 2579900, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The course covers topics in management accounting in a decision-making framework. Some of these topics in the course MA1 are: short-term planning, investment decisions, budgeting and activity-based costing. We will use international material written in English. We will approach these topics primarily from the perspective of the users of financial information (not so much from the controller who prepares the information). The course builds on an introductory level of understanding of accounting concepts from Business Administration courses in the core program. The course is intended for students in Industrial Engineering. Learning objectives:

• Students have an understanding of theory and applications of management accounting topics. • They can use financial information for various purposes in organizations.

Examination:

• The assessment consists of a written exam (120 minutes) at the end of each semester (following § 4 (2) No. 1 of the examination regulation).

Workload:

• The total workload for this course is approximately 135.0 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 495 Module Handbook as of 30/09/2021 7 COURSES Course: Management Accounting 1 [T-WIWI-102800]

Literature

• Marc Wouters, Frank H. Selto, Ronald W. Hilton, Michael W. Maher: Cost Management – Strategies for Business Decisions, 2012, Publisher: McGraw-Hill Higher Education (ISBN-13 9780077132392 / ISBN-10 0077132394) • In addition, several papers that will be available on ILIAS.

Übung zu Management Accounting 1 (Bachelor) V Practice (Ü) 2579901, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content see Module Handbook

V Practice (Ü) 2579902, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content see Module Handbook

Industrial Engineering and Management M.Sc. 496 Module Handbook as of 30/09/2021 7 COURSES Course: Management Accounting 2 [T-WIWI-102801]

T 7.240 Course: Management Accounting 2 [T-WIWI-102801]

Responsible: Prof. Dr. Marcus Wouters Organisation: KIT Department of Economics and Management Part of: M-WIWI-101498 - Management Accounting

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 2

Events WT 21/22 2579903 Management Accounting 2 2 SWS Lecture Wouters WT 21/22 2579904 2 SWS Practice Ebinger WT 21/22 2579905 2 SWS Practice Ebinger Exams ST 2021 79-2579903-B Management Accounting 2 (Bachelor) Wouters ST 2021 79-2579903-M Management Accounting 2 (Mastervorzug und Master) Wouters

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 120-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3).

Prerequisites None

Recommendation It is recommended to take part in the course "Management Accounting 1" before this course.

Annotation Students in the Bachelor' program can only take the related tutorial and examination. Students in the Master's program (and Bachelor's students who are already completing examinations for their Master's program) can only take the related tuturial and examination.

Below you will find excerpts from events related to this course:

Management Accounting 2 V Lecture (V) 2579903, WS 21/22, 2 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 497 Module Handbook as of 30/09/2021 7 COURSES Course: Management Accounting 2 [T-WIWI-102801]

Content The course covers topics in management accounting in a decision-making framework. Some of these topics in the course MA2 are: cost estimation, product costing and cost allocation, financial performance measures, transfer pricing, strategic performance measurement systems. We will use international material written in English. We will approach these topics primarily from the perspective of the users of financial information (not so much from the controller who prepares the information). The course builds on an introductory level of understanding of accounting concepts from Business Administration courses in the core program. The course is intended for students in Industrial Engineering. Learning objectives:

• Students have an understanding of theory and applications of management accounting topics. They can use financial information for various purposes in organizations.

Recommendations:

• It is recommended to take part in the course "Management Accounting 1" before this course.

Examination:

• The assessment consists of a written exam (120 min) at the end of each semester (following § 4 (2) No. 1 of the examination regulation).

Workload:

• The total workload for this course is approximately 135.0 hours. For further information see German version.

Literature

• Marc Wouters, Frank H. Selto, Ronald W. Hilton, Michael W. Maher: Cost Management – Strategies for Business Decisions, 2012, Verlag: McGraw-Hill Higher Education (ISBN-13 9780077132392 / ISBN-10 0077132394) • Zusätzlich werden Artikel auf ILIAS zur Vergügung gestellt.

V Practice (Ü) 2579904, WS 21/22, 2 SWS, Language: English, Open in study portal

Content see ILIAS

V Practice (Ü) 2579905, WS 21/22, 2 SWS, Language: English, Open in study portal

Content see ILIAS

Industrial Engineering and Management M.Sc. 498 Module Handbook as of 30/09/2021 7 COURSES Course: Management of IT-Projects [T-WIWI-102667]

T 7.241 Course: Management of IT-Projects [T-WIWI-102667]

Responsible: Dr. Roland Schätzle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 3

Events

ST 2021 2511214 Management of IT-Projects 2 SWS Lecture / 🖥 Schätzle ST 2021 2511215 Übungen zu Management von 1 SWS Practice / 🖥 Schätzle Informatik-Projekten Exams ST 2021 7900045 Management of IT-Projects (Registration until 12 July 2021) Oberweis WT 21/22 7900014 Management of IT-Projects Oberweis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment takes place in the form of a written examination (exam) in the amount of 60 minutes. The examination is offered every semester and can be repeated at any regular examination date. Prerequisite for the participation in the examination is the successful participation in the exercise, which takes place in the summer semester, starting from summer semester 2020. The number of participants in the exercise is limited. The exact details will be announced in the lecture.

Prerequisites Prerequisite for the participation in the examination is the successful participation in the exercise, which takes place in the summer semester, starting from summer semester 2020. The number of participants in the exercise is limited.

Below you will find excerpts from events related to this course:

Management of IT-Projects V Lecture (V) 2511214, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 499 Module Handbook as of 30/09/2021 7 COURSES Course: Management of IT-Projects [T-WIWI-102667]

Content The lecture deals with the general framework, impact factors and methods for planning, handling, and controlling of IT projects. Especially following topics are addressed:

• project environment • project organisation • project planning including the following items: ◦ plan of the project structure ◦ flow chart ◦ project schedule ◦ plan of resources • effort estimation • project infrastructur • project controlling • risk management • feasibility studies • decision processes, conduct of negotiations, time management.

Learning objectives: Students

• explain the terminology of IT project management and typical used methods for planning, handling and controlling, • apply methods appropiate to current project phases and project contexts, • consider organisational and social impact factors.

Recommendations: Knowledge from the lecture Software Engineering is helpful. Workload:

• Lecture 30h • Exercise 15h • Preparation of lecture 24h • Preparation of exercises 25h • Exam preparation 40h • Exam 1h

Literature

• B. Hindel, K. Hörmann, M. Müller, J. Schmied. Basiswissen Software-Projektmanagement. dpunkt.verlag 2004 • Project Management Institute Standards Committee. A Guide to the Project Management Body of Knowledge (PMBoK guide). Project Management Institute. Four Campus Boulevard. Newton Square. PA 190733299. U.S.A.

Übungen zu Management von Informatik-Projekten V Practice (Ü) 2511215, SS 2021, 1 SWS, Language: German, Open in study portal Online

Content The general conditions, influencing factors and methods in the planning, execution and control of IT projects are dealt with. In particular, the following topics will be dealt with: Project environment, project organization, project structure plan, effort estimation, project infrastructure, project control, decision-making processes, negotiation, time management. The lecture is accompanied by exercises in the form of tutorials. The date of the exercise will be announced later.

Industrial Engineering and Management M.Sc. 500 Module Handbook as of 30/09/2021 7 COURSES Course: Managing New Technologies [T-WIWI-102612]

T 7.242 Course: Managing New Technologies [T-WIWI-102612]

Responsible: Dr. Thomas Reiß Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon)

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2545003 Managing New Technologies 2 SWS Lecture / 🖥 Reiß Exams ST 2021 7900169 Managing New Technologies Reiß

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written exam 100% following §4, Abs. 2.

Prerequisites None

Recommendation None

Annotation The credit points for T-WIWI-102612 "Management of New Technologies" were reduced to 3 credit points in the 2019 summer semester.

Below you will find excerpts from events related to this course:

Managing New Technologies V Lecture (V) 2545003, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature

• Hausschildt/Salomo: Innovationsmanagement; Borchert et al.: Innovations- und Technologiemanagement; • Specht/Möhrle; Gabler Lexikon Technologiemanagement

Die relevanten Auszüge und zusätzlichen Quellen werden in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 501 Module Handbook as of 30/09/2021 7 COURSES Course: Manufacturing Technology [T-MACH-102105]

T 7.243 Course: Manufacturing Technology [T-MACH-102105]

Responsible: Prof. Dr.-Ing. Volker Schulze Dr.-Ing. Frederik Zanger Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101276 - Manufacturing Technology

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each winter term 3

Events WT 21/22 2149657 Manufacturing Technology 6 SWS Lecture / Practice ( / Schulze, Gerstenmeyer 🧩 Exams ST 2021 76-T-MACH-102105 Manufacturing Technology Schulze

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (180 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Manufacturing Technology V Lecture / Practice (VÜ) 2149657, WS 21/22, 6 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 502 Module Handbook as of 30/09/2021 7 COURSES Course: Manufacturing Technology [T-MACH-102105]

Content The objective of the lecture is to look at manufacturing technology within the wider context of production engineering, to provide an overview of the different manufacturing processes and to impart detailed process knowledge of the common processes. The lecture covers the basic principles of manufacturing technology and deals with the manufacturing processes according to their classification into main groups regarding technical and economic aspects. The lecture is completed with topics such as process chains in manufacturing. The following topics will be covered:

• Quality control • Primary processing (casting, plastics engineering, sintering, additive manufacturing processes) • Forming (sheet-metal forming, massive forming, plastics engineering) • Cutting (machining with geometrically defined and geometrically undefined cutting edges, separating, abrading) • Joining • Coating • Heat treatment and surface treatment • Process chains in manufacturing

This lucture provides an excursion to an industry company.

Learning Outcomes: The students ...

• are capable to specify the different manufacturing processes and to explain their functions. • are able to classify the manufacturing processes by their general structure and functionality according to the specific main groups. • have the ability to perform a process selection based on their specific characteristics. • are enabled to identify correlations between different processes and to select a process regarding possible applications. • are qualified to evaluate different processes regarding specific applications based on technical and economic aspects. • are experienced to classify manufacturing processes in a process chain and to evaluate their specific influence on surface integrity of workpieces regarding the entire process chain.

Workload: regular attendance: 63 hours self-study: 177 hours

Organizational issues Start: 18.10.2021

Vorlesungstermine montags und dienstags, Übungstermine mittwochs. Bekanntgabe der konkreten Übungstermine erfolgt in der ersten Vorlesung.

Literature Medien: Skript zur Veranstaltung wird über ilias (https://ilias.studium.kit.edu/) bereitgestellt. Media: Lecture notes will be provided in ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 503 Module Handbook as of 30/09/2021 7 COURSES Course: Market Engineering: Information in Institutions [T-WIWI-102640]

T 7.244 Course: Market Engineering: Information in Institutions [T-WIWI-102640]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101409 - Electronic Markets M-WIWI-101411 - Information Engineering M-WIWI-101446 - Market Engineering M-WIWI-101453 - Applied Strategic Decisions M-WIWI-102754 - Service Economics and Management

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540460 Market Engineering: Information in 2 SWS Lecture / 🖥 Weinhardt, Straub Institutions

ST 2021 2540461 Übungen zu Market Engineering: 1 SWS Practice / 🖥 Golla Information in Institutions Exams ST 2021 7910804 Market Engineering: Information in Institutions Weinhardt ST 2021 7979235 Market Engineering: Information in Institutions Weinhardt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulations). By successful completion of the exercises (§4 (2), 3 SPO 2007 respectively §4 (3) SPO 2015) up to 6 bonus points can be obtained. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by max. one grade level (0.3 or 0.4).

Prerequisites None

Below you will find excerpts from events related to this course:

Market Engineering: Information in Institutions V Lecture (V) 2540460, SS 2021, 2 SWS, Language: English, Open in study portal Online

Literature

• Roth, A., The Economist as Engineer: Game Theory, Experimental Economics and Computation as Tools for Design Economics. Econometrica 70(4): 1341-1378, 2002. • Weinhardt, C. ,Holtmann, C., Neumann, D., Market Engineering. Wirtschaftsinformatik, 2003. • Wolfstetter, E., Topics in Microeconomics - Industrial Organization, Auctions, and Incentives. Cambridge, Cambridge University Press, 1999. • Smith, V. "Theory, Experiments and Economics", The Journal of Economic Perspectives,Vol. 3, No. 1, 151-69 1989

Industrial Engineering and Management M.Sc. 504 Module Handbook as of 30/09/2021 7 COURSES Course: Market Research [T-WIWI-107720]

T 7.245 Course: Market Research [T-WIWI-107720]

Responsible: Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101510 - Cross-Functional Management Accounting M-WIWI-101647 - Data Science: Evidence-based Marketing M-WIWI-105312 - Marketing and Sales Management M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 3

Events

ST 2021 2571150 Market Research 2 SWS Lecture / 🖥 Klarmann ST 2021 2571151 Market Research Tutorial 1 SWS Practice / 🖥 Honold Exams ST 2021 7900015 Market Research Klarmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of success takes place through a written exam (according to SPO § 4 Abs. 2, Pkt. 1) with additional aids in the sense of an open book exam. In the winter term 2021/22, the written exam will either take place in the lecture hall or online, depending on further pandemic developments. Further details will be announced during the lecture.

Prerequisites None

Recommendation None

Annotation Please note that this course has to be completed successfully by students interested in master thesis positions at the Marketing & Sales Research Group.

Below you will find excerpts from events related to this course:

Market Research V Lecture (V) 2571150, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 505 Module Handbook as of 30/09/2021 7 COURSES Course: Market Research [T-WIWI-107720]

Content Within the lecture, essential statistical methods for measuring customer attitudes (e.g. satisfaction measurement), understanding customer behavior and making strategic decisions will be discussed. The practical use as well as the correct handling of different survey methods will be taught, such as experiments and surveys. To analyze the collected data, various analysis methods are presented, including hypothesis tests, factor analyses, cluster analyses, variance and regression analyses. Building on this, the interpretation of the results will be discussed. Topics addressed in this course are for example:

• Theoretical foundations of market research • Statistical foundations of market research • Measuring customer attitudes • Understanding customer reactions • Strategical decision making

The aim of this lecture is to give an overview of essential statistical methods. In the lecture students learn the practical use as well as the correct handling of different statistical survey methods and analysis procedures. In addition, emphasis is put on the interpretation of the results after the application of an empirical survey. The derivation of strategic options is an important competence that is required in many companies in order to react optimally to customer needs. The assessment is carried out (according to §4(2), 3 SPO) in the form of a written open book exam. The total workload for this course is approximately 135.0 hours. Presence time: 30 hours Preparation and wrap-up of the course: 45.0 hours Exam and exam preparation: 60.0 hours Please note that this course has to be completed successfully by students interested in master thesis positions at the chair of marketing.

Literature Homburg, Christian (2016), Marketingmanagement, 6. Aufl., Wiesbaden.

Industrial Engineering and Management M.Sc. 506 Module Handbook as of 30/09/2021 7 COURSES Course: Marketing Analytics [T-WIWI-103139]

T 7.246 Course: Marketing Analytics [T-WIWI-103139]

Responsible: Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101647 - Data Science: Evidence-based Marketing

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 5

Events WT 21/22 2572170 Marketing Analytics 2 SWS Lecture / 🧩 Klarmann

WT 21/22 2572171 1 SWS Practice / 🗣 Honold Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative (according to §4(2), 3 of the examination regulation) exam assessment (working on tasks in groups during the lecture).

Prerequisites The prerequisite for taking the course is the successful completion of the course "Market Research".

Recommendation It is strongly recommended to complete the course "Market Research" prior to taking the "Marketing Analytics" course.

Annotation "Marketing Analytics" will be offered as a block course in the winter term 20/21 with an alternative exam assessment. For further information please contact the Marketing and Sales Research Group (marketing.iism.kit.edu). Exchange students can bypass the requirement of passing Market Research if they can prove that they possess sufficient statistical knowledge based on courses attended at their home institution. This will be examined individually by the Marketing & Sales Research Group.

Below you will find excerpts from events related to this course:

Marketing Analytics V Lecture (V) 2572170, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Content In this course various relevant market research questions are addressed, as for example measuring and understanding customer attitudes, preparing strategic decisions and sales forecasting. In order to analyze these questions, students learn to handle social media data, panel data, nested observations and experimental design. To analyze the data, advanced methods, as for example multilevel modeling, structural equation modeling and return on marketing models are taught. Also, problems of causality are addressed in-depth. The lecture is accompanied by a computer-based exercise, in the course of which the methods are applied practically. Students

• receive based on the course market research an overview of advanced empirical methods • learn in the course of the lecture to handle advanced data collection and data analysis methods • are based on the acquired knowledge able to interpret results and derive strategic implications

Total workload for 4.5 ECTS: ca. 135 hours. In order to attend Marketing Analytics, students are required to have passed the course Market Research. Exchange students can bypass the requirement of passing Market Research if they can prove that they possess sufficient statistical knowledge based on courses attended at their home institution. This will be examined individually by the Marketing & Sales Research Group. For further information please contact the Marketing and Sales Research Group (marketing.iism.kit.edu).

Organizational issues Präsenztermine: 05.11.2021 / 19.11.2021 / 03.12.2021 / 17.12.2021 Die anderen Termine finden online statt.

Industrial Engineering and Management M.Sc. 507 Module Handbook as of 30/09/2021 7 COURSES Course: Marketing Analytics [T-WIWI-103139]

Literature

• Hanssens, Dominique M., Parsons, Leonard J., Schultz, Randall L. (2003), Market response models: Econometric and time series analysis, 2nd ed, Boston. • Gelman, Andrew, Hill, Jennifer (2006), Data analysis using regression and multilevel/hierarchical models, New York. • Cameron, A. Colin, Trivedi, Pravin K. (2005), Microeconometrics: methods and applications, New York. • Chapman, Christopher, Feit, Elea M. (2015), R for Marketing Research and Analytics, Cham. • Ledolter, Johannes (2013), Data mining and business analytics with R, New York.

Industrial Engineering and Management M.Sc. 508 Module Handbook as of 30/09/2021 7 COURSES Course: Marketing Strategy Business Game [T-WIWI-102835]

T 7.247 Course: Marketing Strategy Business Game [T-WIWI-102835]

Responsible: Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101510 - Cross-Functional Management Accounting M-WIWI-105312 - Marketing and Sales Management

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each summer term 1

Events

ST 2021 2571183 Marketing Strategy Business Game 1 SWS Block / 🖥 Klarmann, Mitarbeiter Exams ST 2021 7900022 Marketing Strategy Business Game Klarmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment (alternative exam assessment) consists of a group presentation and a subsequent round of questions totalling 20 minutes.

Prerequisites None

Recommendation None

Annotation Please note that only one of the courses from the election block can be chosen in the module. Please note: The number of participants for this course is limited. The Marketing and Sales Research Group typically provides the possibility to attend a course with 1.5 ECTS points in the respective module to all students. Participation in a specific course cannot be guaranteed. In order to participate in this course, you need to apply. Applications are usually accepted at the start of the lecture period in summer term. Detailed information on the application process is usually provided on the website of the Marketing and Sales Research Group (marketing.iism.kit.edu) shortly before the lecture period in summer term starts.

Below you will find excerpts from events related to this course:

Marketing Strategy Business Game V Block (B) 2571183, SS 2021, 1 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 509 Module Handbook as of 30/09/2021 7 COURSES Course: Marketing Strategy Business Game [T-WIWI-102835]

Content Using Markstrat, a marketing strategy business game, students work in groups representing a company that competes on a simulated market against the other groups' companies. Students - are able to operate the strategic marketing simulation software "Markstrat" - are able to take strategic marketing decisions in groups - know how to apply strategic marketing concepts to practical contexts (e.g. for market segmentation, product launches, coordination of the marketing mix, market research, choice of the distribution channel or competitive behavior) - are capable to collect and to select information usefully with the aim of decision-making - are able to react appropriately to predetermined market conditions - know how to present their strategies in a clear and consistent way - are able to talk about the success, problems, critical incidents, external influences and strategy changes during the experimental game and to reflect and present their learning success Non exam assessment (following §4(2), 3 of the examination regulation). The total workload for this course is approximately 45.0 hours. For further information see German version.

• Please note that only one of the courses from the election block can be chosen in the module. • Please note: The number of participants for this course is limited. The Marketing and Sales Research Group typically provides the possibility to attend a course with 1.5 ECTS in the respective module to all students. Participation in a specific course cannot be guaranteed. • In order to participate in this course, you need to apply. Applications are usually accepted at the start of the lecture period in summer term. Detailed information on the application process is usually provided on the website of the Marketing and Sales Research Group (marketing.iism.kit.edu) shortly before the lecture period in summer term starts.

Organizational issues Termine werden bekannt gegeben

Literature Homburg, Christian (2016), Marketingmanagement, 6. Aufl., Wiesbaden.

Industrial Engineering and Management M.Sc. 510 Module Handbook as of 30/09/2021 7 COURSES Course: Master Thesis [T-WIWI-103142]

T 7.248 Course: Master Thesis [T-WIWI-103142]

Responsible: Studiendekan der KIT-Fakultät für Informatik Studiendekan des KIT-Studienganges Organisation: KIT Department of Economics and Management Part of: M-WIWI-101650 - Module Master Thesis

Type Credits Grading scale Version Final Thesis 30 Grade to a third 1

Competence Certificate see module description

Prerequisites see module description

Final Thesis This course represents a final thesis. The following periods have been supplied: Submission deadline 6 months Maximum extension period 3 months Correction period 8 weeks

Industrial Engineering and Management M.Sc. 511 Module Handbook as of 30/09/2021 7 COURSES Course: Material Flow in Logistic Systems [T-MACH-102151]

T 7.249 Course: Material Flow in Logistic Systems [T-MACH-102151]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101277 - Material Flow in Logistic Systems

Type Credits Grading scale Recurrence Version Examination of another type 9 Grade to a third Each winter term 3

Events WT 21/22 2117051 Material flow in logistic systems 15 SWS Others (sons Furmans, Klein, Fleischmann

Competence Certificate The assessment (Prüfungsleistung anderer Art) consists of the following assignments:

• 40% assessment of the final case study as individual performance, • 60% semester evaluation which includes working on 5 case studies and defending those (For both assessment types, the best 4 of 5 tries count for the final grade.): ◦ 40% assessment of the result of the case studies as group work, ◦ 20% assessment of the oral examination during the case study colloquiums as individual performance.

A detailed description of the learning control can be found under Annotations.

Prerequisites none

Recommendation Recommended elective subject: Probability Theory and Statistics

Annotation Students are divided into groups for this course. Five case studies are carried out in these groups. The results of the group work during the lecture period are presented and evaluated in writing. In the oral examination during the case study colloquiums, the understanding of the result of the group work and the models dealt with in the course is tested. The participation in the oral defenses is compulsory and will be controlled. For the written submission the group receives a common grade, in the oral defense each group member is evaluated individually. After the lecture period, there is the final case study. This case study contains the curriculum of the whole semester. The students work individually on this case study which takes place at a predefined place and time (duration: 4h).

Below you will find excerpts from events related to this course:

Material flow in logistic systems V Others (sonst.) 2117051, WS 21/22, 15 SWS, Language: German, Open in study portal

Industrial Engineering and Management M.Sc. 512 Module Handbook as of 30/09/2021 7 COURSES Course: Material Flow in Logistic Systems [T-MACH-102151]

Content Learning Content:

• Elements of material flow systems (conveyor elements, fork, join elements) • Models of material flow networks using graph theory and matrices • Queueing theory, calculation of waiting time, utilization • Warehouseing and order-picking • Shuttle systems • Sorting systems • Simulation • Calculation of availability and reliability • Value stream analysis

After successful completion of the course, you are able (alone and in a team) to:

• Accurately describe a material handling system in a conversation with an expert. • Model and parameterize the system load and the typical design elements of a material handling system. • Design a material handling system for a task. • Assess the performance of a material handling system in terms of the requirements. • Change the main lever for influencing the performance. • Expand the boundaries of today’s methods and system components conceptually if necessary.

Literature: Arnold, Dieter; Furmans, Kai: Materialfluss in Logistiksystemen; Springer-Verlag Berlin Heidelberg, 7. Auflage 2019 Description: This course is seperated into 5 topic blocks which are structured in the following parts: - self-study phase - exercise - plenary - case study (group work) - colloquium - review of case study The groups for the case study will be formed at the beginning of the course (first week). The results of the group work during the lecture period are presented and evaluated in writing. During the colloquiums, the result of the case study is presented and the understanding of the group work and the models dealt with in the course are tested in an oral defense. The participation in the colloquiums is compulsory and will be controlled. For the written submission and the presentation the group receives a common grade, in the oral defense each group member is evaluated individually. After the lecture period, there is the final case study. This case study contains the curriculum of the whole semester. The students work individually on this case study which takes place at a predefined place and time (duration: 4h). We strongly recommend to attend the introductory session ont 20th of October 2021. In this session, the teaching concept of "Materialfluss in Logistiksysteme" is explained and outstanding issues are clarified. The course registration including the group allocation with ILIAS is mandatory. The registration will be open for several days after the introductory session (registration duration: 20.10.2021 14:00 Uhr - 26.10.2021 14:00 Uhr) Workload:

• Regular attendance: 35 h • Self-study: 135 h • Group work: 100 h

Competence Certificate: The assessment (Prüfungsleistung anderer Art) consists of the following assignments:

• 40% assessment of the final case study as individual performance, • 60% semester evaluation which includes working on 5 case studies and defending those (For both assessment types, the best 4 of 5 tries count for the final grade.): ◦ 40% assessment of the result and the presentation of the case studies as group work, ◦ 20% assessment of the oral examination during the colloquiums as individual performance.

Industrial Engineering and Management M.Sc. 513 Module Handbook as of 30/09/2021 7 COURSES Course: Mathematical Models and Methods for Production Systems [T-MACH-105189]

T 7.250 Course: Mathematical Models and Methods for Production Systems [T- MACH-105189]

Responsible: Dr.-Ing. Marion Baumann Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems

Type Credits Grading scale Recurrence Version Oral examination 6 Grade to a third Each winter term 1

Events WT 21/22 2117059 Mathematical models and methods 4 SWS Lecture / 🧩 Baumann, Furmans for Production Systems

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulation.

Prerequisites none

Below you will find excerpts from events related to this course:

Mathematical models and methods for Production Systems V Lecture (V) 2117059, WS 21/22, 4 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Content Media: black board, lecture notes, presentations Learning Content:

• single server systems: M/M/1, M/G/1: priority rules, model of failures • networks: open and closed approximations, exact solutions and approximations • application to flexible manufacturing systems, AGV (automated guided vehicles) - systems • modeling of control approaches like constant work in process (ConWIP) or kanban • discrete-time modeling of queuing systems

Learning Goals: Students are able to:

• Describe queueing systems with analytical solvable stochastic models, • Derive approches for modeling and controlling material flow and production systems based on models of queueing theory, • Use simulation and exakt methods.

Recommendations:

• Basic knowledge of statistic • recommended compusory optional subject: Stochastics • recommended lecture: Materials flow in logistic systems (also parallel)

Workload: regular attendance: 42 hours self-study: 198 hours

Industrial Engineering and Management M.Sc. 514 Module Handbook as of 30/09/2021 7 COURSES Course: Mathematical Models and Methods for Production Systems [T-MACH-105189]

Literature Ronald W. Wolff (1989) Stochastic Modeling and the Theory of Queues, Englewood Cliffs, NJ : Prentice-Hall. John A. Buzacott, J. George Shanthikumar (1993) Stochastic Models of Manufacturing Systems, Upper Saddle River, NJ : Prentice Hall.

Industrial Engineering and Management M.Sc. 515 Module Handbook as of 30/09/2021 7 COURSES Course: Mathematics for High Dimensional Statistics [T-WIWI-111247]

T 7.251 Course: Mathematics for High Dimensional Statistics [T-WIWI-111247]

Responsible: Prof. Dr. Oliver Grothe Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-101637 - Analytics and Statistics M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Oral examination 4,5 Grade to a third Irregular 1

Events

ST 2021 2550562 Mathematische Grundlagen 2 SWS Lecture / 🖥 Grothe hochdimensionaler Statistik

ST 2021 2550563 Übung zu Mathematische 2 SWS Practice / 🖥 Rieger Grundlagen hochdimensionaler Statistik Exams ST 2021 7900362 Mathematics for High Dimensional Statistics Grothe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (30 min.) taking place in the recess period.

Prerequisites None

Recommendation Basic knowledge of mathematics and statistics is assumed. Knowledge in multivariate statistics is an advantage, but not necessary for the course.

Below you will find excerpts from events related to this course:

Mathematische Grundlagen hochdimensionaler Statistik V Lecture (V) 2550562, SS 2021, 2 SWS, Open in study portal Online

Content Content: The lecture focuses on modelling statistical objects (random vectors, random matrices and random graphs) in high dimensions. It deals with concentration inequalities that limit the fluctuations of such objects as well as complexity measures for quantities and functions. The theory is transferred to well-known and widespread applications such as neighbourhood detection in networks, statistical learning theory and LASSO.

Learning objectives: Students are able to

• name and justify statistical properties of high-dimensional objects (vectors, matrices, functions). • describe and explain differences in the behaviour between low- and high-dimensional random objects. • name procedures for assess uncertainties in statistical models and apply them in simple examples. • decide well-founded which modeling of high-dimensional structures is best suited in a specific situation. • transform data into lower dimensions and quantify approximation errors. • understand basic proofs in high-dimensional statistics using examples. • develop, implement and evaluate smaller simulations in a programming language of their choice.

Industrial Engineering and Management M.Sc. 516 Module Handbook as of 30/09/2021 7 COURSES Course: Membrane Technologies in Water Treatment [T-CIWVT-110865]

T 7.252 Course: Membrane Technologies in Water Treatment [T-CIWVT-110865]

Responsible: Prof. Dr. Harald Horn Dr.-Ing. Florencia Saravia Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101122 - Water Chemistry and Water Technology II

Type Credits Grading scale Recurrence Version Written examination 5 Grade to a third Each summer term 2

Events

ST 2021 22605 Membrane Technologies in Water 2 SWS Lecture / 🖥 Horn, Saravia Treatment

ST 2021 22606 Practical in Membrane 1 SWS Practice / 🖥 Horn, Saravia, und Technologies in Water Treatment Mitarbeiter Exams ST 2021 7232605 Membrane Technologies in Water Treatment Horn, Saravia WT 21/22 7232605 Membrane Technologies in Water Treatment Horn, Saravia

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Learning control is an written examination with a duration of 90 minutes (SPO section 4 subsection 2).

Prerequisites The attendance at the excursions is examination prerequisite.

Industrial Engineering and Management M.Sc. 517 Module Handbook as of 30/09/2021 7 COURSES Course: Metal Forming [T-MACH-105177]

T 7.253 Course: Metal Forming [T-MACH-105177]

Responsible: Dr. Thomas Herlan Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 2

Events

ST 2021 2150681 Metal Forming 2 SWS Lecture / 🖥 Herlan Exams ST 2021 76-T-MACH-105177 Metal Forming Herlan

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Exam (20 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Metal Forming V Lecture (V) 2150681, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 518 Module Handbook as of 30/09/2021 7 COURSES Course: Metal Forming [T-MACH-105177]

Content At the beginning of the lecture the basics of metal forming are briefly introduced. The focus of the lecture is on massive forming (forging, extrusion, rolling) and sheet forming (car body forming, deep drawing, stretch drawing). This includes the systematic treatment of the appropriate metal forming Machines and the corresponding tool technology. Aspects of tribology, as well as basics in material science and aspects of production planning are also discussed briefly. The plastic theory is presented to the extent necessary in order to present the numerical simulation method and the FEM computation of forming processes or tool design. The lecture will be completed by product samples from the forming technology. The topics are as follows:

• Introduction and basics • Hot forming • Metal forming machines • Tools • Metallographic fundamentals • Plastic theory • Tribology • Sheet forming • Extrusion • Numerical simulation

Learning Outcomes: The students …

• are able to reflect the basics, forming processes, tools, Machines and equipment of metal forming in an integrated and systematic way. • are capable to illustrate the differences between the forming processes, tools, machines and equipment with concrete examples and are qualified to analyze and assess them in terms of their suitability for the particular application. • are also able to transfer and apply the acquired knowledge to other metal forming problems.

Workload: regular attendance: 21 hours self-study: 99 hours

Organizational issues Vorlesungstermine freitags, wöchentlich. Die konkreten Termine werden in der ersten Vorlesung bekannt gegeben und auf der Institutshomepage und ILIAS veröffentlicht.

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt.

Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/)

Industrial Engineering and Management M.Sc. 519 Module Handbook as of 30/09/2021 7 COURSES Course: Methods and Models in Transportation Planning [T-BGU-101797]

T 7.254 Course: Methods and Models in Transportation Planning [T-BGU-101797]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 6232701 Berechnungsverfahren und Modelle 2 SWS Lecture / Practice ( Vortisch, Mitarbeiter/ in der Verkehrsplanung innen Exams ST 2021 8240101797 Methods and Models in Transportation Planning Vortisch

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 520 Module Handbook as of 30/09/2021 7 COURSES Course: Methods in Economic Dynamics [T-WIWI-102906]

T 7.255 Course: Methods in Economic Dynamics [T-WIWI-102906]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: M-WIWI-101514 - Innovation Economics

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each summer term 2

Events

ST 2021 2560240 Methods in Economic Dynamics 1 SWS Lecture / 🖥 Ott, Scheu Exams ST 2021 7900108 Methods in Economic Dynamics Ott

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment.

Prerequisites None

Recommendation Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012] and Economics II [2600014]. Further, it is assumed that students have interest in using quantiative-mathematical methods.

Below you will find excerpts from events related to this course:

Methods in Economic Dynamics V Lecture (V) 2560240, SS 2021, 1 SWS, Language: German/English, Open in study portal Online

Content The economic exploitation of inventions is an important part of innovation economics. Intellectual property rights such as patents or trademarks play a central role. Within this workshop, the recording, processing and analysis of such intellectual property rights will be deepened, e.g. considering specific technologies. Students will learn how to work with relational databases, the econometric evaluation of recorded data, and methods for visualising them. Learning objectives: The student

• learns to query data sources. • is able to analyse data with statistical methods. • visualises and interprets data evaluations (e.g. using dashboards or methods of network analysis).

Recommendations: An interest in working with data, basic knowledge on databases as well as basic knowledge in economics and statistics are advantageous. Workload: The total workload for this course is approximately 45 hours.

• Classes: ca. 5 h • Self-study: ca. 40 h

Assessment: Non exam assessment according to § 4 paragraph 3 of the examination regulation (SPO 2015).

Literature Relevante Literatur wird in der Vorlesung bekanntgegeben. (Relevant literature will be announced in the lecture.)

Industrial Engineering and Management M.Sc. 521 Module Handbook as of 30/09/2021 7 COURSES Course: Methods in Innovation Management [T-WIWI-110263]

T 7.256 Course: Methods in Innovation Management [T-WIWI-110263]

Responsible: Dr. Daniel Jeffrey Koch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events

WT 21/22 2545107 Methoden im 2 SWS Seminar / 🖥 Koch Innovationsmanagement

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessments (§4(2), 3 SPO). The final grade is composed 75% of the grade of the written paper and 25% of the grade of the presentation.

Prerequisites None.

Recommendation Prior attendance of the course “Innovation Management: Concepts, Strategies and Methods” is recommended.

Below you will find excerpts from events related to this course:

Methoden im Innovationsmanagement V Seminar (S) 2545107, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content The seminar "Methods in Innovation Management" aims at the discussion and development of different methods for the structured generation of ideas in selected contexts. In a block seminar, methods and contexts are discussed, from which seminar topics are defined with the participants. These topics are to be worked on independently using methods and procedures. The results will be presented at a presentation date and then a written seminar paper will be prepared. This means that creativity methods and their combination will be presented and applied. The methods are worked on in a structured form and process-like sequence in order to clarify the advantages and disadvantages of different methods.

Literature Werden in der ersten Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 522 Module Handbook as of 30/09/2021 7 COURSES Course: Microactuators [T-MACH-101910]

T 7.257 Course: Microactuators [T-MACH-101910]

Responsible: Prof. Dr. Manfred Kohl Organisation: KIT Department of Mechanical Engineering

Part of: M-ETIT-101158 - Sensor Technology I M-MACH-101287 - Microsystem Technology M-MACH-101290 - BioMEMS M-MACH-101292 - Microoptics

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2142881 Microactuators 2 SWS Lecture / 🖥 Kohl Exams ST 2021 76-T-MACH-101910 Microactuators Kohl WT 21/22 76-T-MACH-101910 Microactuators Kohl

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 60 min.

Prerequisites none

Below you will find excerpts from events related to this course:

Microactuators V Lecture (V) 2142881, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content - Basic knowledge in the material science of the actuation principles - Layout and design optimization - Fabrication technologies - Selected developments - Applications The lecture includes amongst others the following topics:

• Microelectromechnical systems: linear actuators, microrelais, micromotors • Medical technology and life sciences: Microvalves, micropumps, microfluidic systems • Microrobotics: Microgrippers, polymer actuators (smart muscle) • Information technology: Optical switches, mirror systems, read/write heads

Literature - Folienskript "Mikroaktorik" - D. Jendritza, Technischer Einsatz Neuer Aktoren: Grundlagen, Werkstoffe, Designregeln und Anwendungsbeispiele, Expert- Verlag, 3. Auflage, 2008 - M. Kohl, Shape Memory Microactuators, M. Kohl, Springer-Verlag Berlin, 2004 - N.TR. Nguyen, S.T. Wereley, Fundamentals and applications of Microfluidics, Artech House, Inc. 2002 - H. Zappe, Fundamentals of Micro-Optics, Cambride University Press 2010

Industrial Engineering and Management M.Sc. 523 Module Handbook as of 30/09/2021 7 COURSES Course: Microbiology for Engineers [T-CIWVT-108871]

T 7.258 Course: Microbiology for Engineers [T-CIWVT-108871]

Responsible: Prof. Dr. Thomas Schwartz Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101119 - Specialization in Food Process Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 22633 Microbiology for Engineers 2 SWS Lecture / 🖥 Schwartz Exams ST 2021 7232633 Microbiology for Engineers Schwartz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Industrial Engineering and Management M.Sc. 524 Module Handbook as of 30/09/2021 7 COURSES Course: Mixed Integer Programming I [T-WIWI-102719]

T 7.259 Course: Mixed Integer Programming I [T-WIWI-102719]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Events WT 21/22 2550138 Mixed-integer Programming I 2 SWS Lecture Stein WT 21/22 2550139 Exercises Mixted Integer Practice Stein, Beck, Neumann Programming I

Competence Certificate The assessment of the lecture is a written examination (60 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester. The examination can also be combined with the examination of Mixed Integer Programming II [25140]. In this case, the duration of the written examination takes 120 minutes.

Prerequisites None

Recommendation It is strongly recommended to visit at least one lecture from the Bachelor program of this chair before attending this course.

Annotation The lecture is offered irregularly. The curriculum of the next three years is available online (kop.ior.kit.edu).

Below you will find excerpts from events related to this course:

Mixed-integer Programming I V Lecture (V) 2550138, WS 21/22, 2 SWS, Language: German, Open in study portal

Industrial Engineering and Management M.Sc. 525 Module Handbook as of 30/09/2021 7 COURSES Course: Mixed Integer Programming I [T-WIWI-102719]

Content Many optimization problems from economics, engineering and natural sciences are modeled with continuous as well as with discrete variables. Examples are the energy minimal design of a chemical process in which several reactors may be switched on or off, portfolio optimization with limitations on the number of securities, the choice of locations to serve customers at minimum cost, and the optimal design of vote allocations in election procedures. For the algorithmic identification of optimal points of such problems an interaction of ideas from discrete as well as continuous optimization is necessary. The lecture focusses on mixed-integer linear optimization problems and is structured as follows:

• Introduction, solvability, and basic concepts • LP relaxation and error bounds for roundings • Branch-and-bound method • Gomory's cutting plane method • Benders decomposition

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of mixed-integer nonlinear optimization problems forms the contents of the lecture "Mixed-integer Programming II". Learning objectives: The student

• knows and understands the fundamentals of linear mixed integer programming, • is able to choose, design and apply modern techniques of linear mixed integer programming in practice.

Literature

• C.A. Floudas, Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications, Oxford University Press, 1995 • J. Kallrath: Gemischt-ganzzahlige Optimierung, Vieweg, 2002 • D. Li, X. Sun: Nonlinear Integer Programming, Springer, 2006 • G.L. Nemhauser, L.A. Wolsey, Integer and Combinatorial Optimization, Wiley, 1988 • M. Tawarmalani, N.V. Sahinidis, Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming, Kluwer, 2002.

Industrial Engineering and Management M.Sc. 526 Module Handbook as of 30/09/2021 7 COURSES Course: Mixed Integer Programming II [T-WIWI-102720]

T 7.260 Course: Mixed Integer Programming II [T-WIWI-102720]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Competence Certificate The assessment of the lecture is a written examination (60 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester. The examination can also be combined with the examination of Mixed Integer Programming I [2550138]. In this case, the duration of the written examination takes 120 minutes.

Prerequisites None

Recommendation It is strongly recommended to visit at least one lecture from the Bachelor program of this chair before attending this course.

Annotation The lecture is offered irregularly. The curriculum of the next three years is available online (kop.ior.kit.edu).

Industrial Engineering and Management M.Sc. 527 Module Handbook as of 30/09/2021 7 COURSES Course: Mobility Services and New Forms of Mobility [T-BGU-103425]

T 7.261 Course: Mobility Services and New Forms of Mobility [T-BGU-103425]

Responsible: Dr.-Ing. Martin Kagerbauer Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events ST 2021 6232811 Mobilitätsservices und neue 2 SWS Lecture / Practice ( / Kagerbauer Formen der Mobilität 🖥 Exams ST 2021 8240103425 Mobility Services and new Forms of Mobility Kagerbauer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 528 Module Handbook as of 30/09/2021 7 COURSES Course: Modeling and Analyzing Consumer Behavior with R [T-WIWI-102899]

T 7.262 Course: Modeling and Analyzing Consumer Behavior with R [T-WIWI-102899]

Responsible: Dr. Verena Dorner Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101448 - Service Management M-WIWI-101506 - Service Analytics M-WIWI-103118 - Data Science: Data-Driven User Modeling

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540470 Modeling and Analyzing Consumer 2 SWS Lecture / 🖥 Knierim Behavior with R

ST 2021 2540471 Übung zu Modeling and Analyzing 1 SWS Practice / 🖥 Knierim, Giebenhain Consumer Behaviour with R Exams ST 2021 7901391 Modeling and Analyzing Consumer Behavior with R Weinhardt ST 2021 79791391 Modeling and Analyzing Consumer Behavior with R Weinhardt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulations). By successful completion of the exercises (§4 (2), 3 SPO 2007 respectively §4 (3) SPO 2015) a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4).

Prerequisites None

Recommendation None

Annotation Number of participants limited.

Below you will find excerpts from events related to this course:

Modeling and Analyzing Consumer Behavior with R V Lecture (V) 2540470, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature Field, A., Miles, J., Field, Z., Discovering Statistics Using R, SAGE 2014 Jones, O., Maillardet, R., Robinson, A., Scientific Programming and Simulation Using R, Chapmann & Hall / CRC Press 2009 Venables, W.N., Smith, D.M. and the R Core Team, "An Introduction to R", 2012 (Version 2.15.2), http://cran.r-project.org/doc/ manuals/R-intro.pdf Wickham, Hadley, ggplot2: Elegant Graphics for Data Analysis (Use R!), Springer 2009 (2nd edition)

Industrial Engineering and Management M.Sc. 529 Module Handbook as of 30/09/2021 7 COURSES Course: Modeling and OR-Software: Advanced Topics [T-WIWI-106200]

T 7.263 Course: Modeling and OR-Software: Advanced Topics [T-WIWI-106200]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: M-WIWI-102808 - Digital Service Systems in Industry M-WIWI-102832 - Operations Research in Supply Chain Management

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 2

Events

WT 21/22 2550490 Modellieren und OR-Software: 3 SWS Practical course / 🖥 Pomes Fortgeschrittene Themen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment is a 120 minutes examination, including a written and a practical part (according to §4(2), 1 of the examination regulation). The examination is held in the term of the software laboratory and the following term.

Prerequisites None.

Recommendation Basic knowledge as conveyed in the module Introduction to Operations Research is assumed. Successful completion of the course Modeling and OR-Software: Introduction.

Annotation Due to capacity restrictions, registration before course start is required. For further information see the webpage of the course. The lecture is held in every term. The planned lectures and courses for the next three years are announced online.

Below you will find excerpts from events related to this course:

Modellieren und OR-Software: Fortgeschrittene Themen V Practical course (P) 2550490, WS 21/22, 3 SWS, Language: German, Open in study portal Online

Content The advanced course is designated for Master students that already attended the introductory course or gained equivalent experience elsewhere, e.g. during a seminar or bachelor thesis. We will work on advanced topics and methods in OR, among others cutting planes, column generation and constraint programming. The Software used for the exercises is IBM ILOG CPLEX Optimization Studio. The associated modelling progamming languages are OPL and ILOG Script.

Organizational issues die genauen Termine werden auf der Homepage bekannt gegeben Link zur Bewerbung:http://go.wiwi.kit.edu/OR_Bewerbung 01.09.2021 09:00 - 25.09.2021 23:55

Industrial Engineering and Management M.Sc. 530 Module Handbook as of 30/09/2021 7 COURSES Course: Morphodynamics [T-BGU-101859]

T 7.264 Course: Morphodynamics [T-BGU-101859]

Responsible: Prof. Dr. Mario Jorge Rodrigues Pereira da Franca Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-WIWI-104837 - Natural Hazards and Risk Management

Type Credits Grading scale Version Oral examination 3 Grade to a third 1

Events ST 2021 6222805 Morphodynamics 2 SWS Lecture / Practice ( / Nestmann 🖥 Exams ST 2021 8230101859 Morphodynamics Nestmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate See German version.

Prerequisites None

Industrial Engineering and Management M.Sc. 531 Module Handbook as of 30/09/2021 7 COURSES Course: Multicriteria Optimization [T-WIWI-111587]

T 7.265 Course: Multicriteria Optimization [T-WIWI-111587]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 1

Competence Certificate The assessment of the lecture is a written examination (60 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester.

Prerequisites None

Recommendation It is strongly recommended to visit at least one lecture from the Bachelor program of this chair before attending this course.

Annotation The course is offered every second winter semester (starting WiSe 22/23). The curriculum of the next three years is available online (www.ior.kit.edu).

Industrial Engineering and Management M.Sc. 532 Module Handbook as of 30/09/2021 7 COURSES Course: Multivariate Statistical Methods [T-WIWI-103124]

T 7.266 Course: Multivariate Statistical Methods [T-WIWI-103124]

Responsible: Prof. Dr. Oliver Grothe Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-101637 - Analytics and Statistics M-WIWI-101639 - Econometrics and Statistics II M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2550554 Multivariate Verfahren 2 SWS Lecture / 🖥 Grothe ST 2021 2550555 Übung zu Multivariate Verfahren 2 SWS Practice / 🖥 Kächele Exams ST 2021 7900351 Multivariate Statistical Methods Grothe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as a 60-minute written examination (written examination according to SPO § 4 Abs. 2, Pkt. 1) or as an open-book examination (alternative exam assessment according to SPO § 4 Abs. 2, Pkt. 3). A bonus program can improve the grade by one grade level (i.e. by 0.3 or 0.4). The exam is offered every semester. Re-examinations are offered only for repeaters.

Prerequisites None

Recommendation The course covers highly advanced statistical methods with a quantitative focus. Hence, participants are necessarily expected to have advanced statistical knowledge, e.g. acquired in the course ''Advanced Statistics''. Without this, participation in the course is not advised. Previous attendance of the course Analysis of Multivariate Data is recommended. Alternatively, the script can be provided to interested students.

Below you will find excerpts from events related to this course:

Multivariate Verfahren V Lecture (V) 2550554, SS 2021, 2 SWS, Open in study portal Online

Literature Skript zur Vorlesung

Industrial Engineering and Management M.Sc. 533 Module Handbook as of 30/09/2021 7 COURSES Course: Nanotechnology for Engineers and Natural Scientists [T-MACH-105180]

T 7.267 Course: Nanotechnology for Engineers and Natural Scientists [T-MACH-105180]

Responsible: Prof. Dr. Martin Dienwiebel apl. Prof. Dr. Hendrik Hölscher Stefan Walheim Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101294 - Nanotechnology

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 1

Events

ST 2021 2142861 Nanotechnology for Engineers 2 SWS Lecture / 🖥 Hölscher and Natural Scientists Exams ST 2021 76-T-MACH-105180 Nanotechnology for Engineers and Natural Scientists Hölscher WT 21/22 76-T-MACH-105180 Nanotechnology for Engineers and Natural Scientists Hölscher, Dienwiebel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam 90 min

Prerequisites none

Below you will find excerpts from events related to this course:

Nanotechnology for Engineers and Natural Scientists V Lecture (V) 2142861, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Nanotechnology deals with the fabrication and analysis of nanostructures. The topics of the lecture include

• the most common measurement principles of nanotechnology especially scanning probe methods • the analysis of physical and chemical properties of surfaces • interatomic forces and their influence on nanostructures • methods of micro- and nanofabrication and lithography • basic models of contact mechanics and nanotribology • important functional characteristics of nanodevices

Basic knowledge in mathematics and physics is assumed The successfull attandence of the lecture is controlled by a 30 minutes oral exam.

Organizational issues Die Vorlesung findet im Sommersemester 2021 aufgrund der aktuellen Situation voraussichtlich online statt. Dabei werden unter anderem Methoden wie „Flipped Classroom“ genutzt und im ILIAS Materialien (Videos, Originalliteratur, Übungen) zum Selbststudium zur Verfügung gestellt. Zusätzlich wird zu den jeweiligen Vorlesungsterminen ein Online-Seminar mit der Software ZOOM durchgeführt, in dem Aufgaben, Übungen und Fragen besprochen werden. Nähere Informationen werden Anfang April 2021 in ILIAS zur Verfügung gestellt. Für die mündlichen Prüfungen werden zwei Termine angeboten werden (voraussichtlich in der ersten Woche nach Vorlesungsende im Sommersemester und in der ersten Woche vor Vorlesungsbeginn im Wintersemester).

Literature Alle Folien und Originalliteratur werden auf ILIAS zur Verfügung gestellt.

Industrial Engineering and Management M.Sc. 534 Module Handbook as of 30/09/2021 7 COURSES Course: Nanotechnology with Clusterbeams [T-MACH-102080]

T 7.268 Course: Nanotechnology with Clusterbeams [T-MACH-102080]

Responsible: Dr. Jürgen Gspann Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101294 - Nanotechnology

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Competence Certificate written examination presence in more that 70% of the lectures Duration: 1 h aids: none

Prerequisites none

Industrial Engineering and Management M.Sc. 535 Module Handbook as of 30/09/2021 7 COURSES Course: Nanotribology and -Mechanics [T-MACH-102167]

T 7.269 Course: Nanotribology and -Mechanics [T-MACH-102167]

Responsible: Prof. Dr. Martin Dienwiebel apl. Prof. Dr. Hendrik Hölscher Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication M-MACH-101294 - Nanotechnology

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 4

Events ST 2021 2182712 Nanotribology and -Mechanics 2 SWS Lecture / Practice ( / Dienwiebel 🖥 WT 21/22 2182712 Nanotribology and -Mechanics 2 SWS Block / 🖥 Dienwiebel Exams ST 2021 76-T-MACH-102167 Nanotribology and -Mechanics Dienwiebel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate presentation (40%) and colloquium (30 min, 60%) no tools or reference materials

Prerequisites none

Recommendation preliminary knowlegde in mathematics and physics

Below you will find excerpts from events related to this course:

Nanotribology and -Mechanics V Lecture / Practice (VÜ) 2182712, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 536 Module Handbook as of 30/09/2021 7 COURSES Course: Nanotribology and -Mechanics [T-MACH-102167]

Content In the summer semester the lecture is offered in German and in the winter semester in English! Part 1: Fundamentals of nanotribology

• General tribology / nanotechnology • Forces and dissipation on the nanometer scale • Experimental methods (SFA, QCM, FFM) • Prandtl-Tomlinson model • Superlubricity • Carbon-based tribosystems • Electronic friction • Nanotribology in liquids • Atomic abrasion • nanolubrication

Part 2: Topical papers The student can

• explain the physical foundations and common models used in the field of nanotribology and nanomechanics • describe the most important experimental methods in nanotribology • critically evaluate scientific papers on nanotribological issues with respect to their substantial quality preliminary knowlegde in mathematics and physics recommended regular attendance: 22,5 hours preparation for presentation: 22,5 hours self-study: 75 hours presentation (40%) and oral examination (30 min, 60%) no tools or reference materials

Organizational issues Die Vorlesung wird auf Deutsch (SoSe) und auf Englisch (WiSe) angeboten! Kontakt: [email protected]

Literature Edward L. Wolf Nanophysics and Nanotechnology, Wiley-VCH, 2006 C. Mathew Mate Tribology on the Small Scale: A Bottom Up Approach to Friction, Lubrication, and Wear (Mesoscopic Physics and Nanotechnology) 1st Edition, Oxford University Press Tafelbilder, Folien, Kopien von Artikeln

Nanotribology and -Mechanics V Block (B) 2182712, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 537 Module Handbook as of 30/09/2021 7 COURSES Course: Nanotribology and -Mechanics [T-MACH-102167]

Content In the summer semester the lecture is offered in German and in the winter semester in English! Part 1: Fundamentals of nanotribology

• General tribology / nanotechnology • Forces and dissipation on the nanometer scale • Experimental methods (SFA, QCM, FFM) • Prandtl-Tomlinson model • Superlubricity • Carbon-based tribosystems • Electronic friction • Nanotribology in liquids • Atomic abrasion • nanolubrication

Part 2: Topical papers The student can

• explain the physical foundations and common models used in the field of nanotribology and nanomechanics • describe the most important experimental methods in nanotribology • critically evaluate scientific papers on nanotribological issues with respect to their substantial quality preliminary knowlegde in mathematics and physics recommended regular attendance: 22,5 hours preparation for presentation: 22,5 hours self-study: 75 hours presentation (40%) and oral examination (30 min, 60%) no tools or reference materials

Organizational issues Anmeldung per Email bis zum 08.10.2021 an den Dozenten: [email protected]

Literature Tafelbilder, Folien, Kopien von Artikeln

Industrial Engineering and Management M.Sc. 538 Module Handbook as of 30/09/2021 7 COURSES Course: Nature-Inspired Optimization Methods [T-WIWI-102679]

T 7.270 Course: Nature-Inspired Optimization Methods [T-WIWI-102679]

Responsible: PD Dr. Pradyumn Kumar Shukla Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2511106 Nature-Inspired Optimization 2 SWS Lecture / 🖥 Shukla Methods

ST 2021 2511107 Übungen zu Nature-Inspired 1 SWS Practice / 🖥 Shukla Optimization Methods Exams ST 2021 7900026 Nature-Inspired Optimization Methods (Registration until 12 July Shukla 2021) WT 21/22 7900016 Nature-Inspired Optimisation Methods Shukla

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min) (according to Section 4(2), 1 of the examination regulation) and an additional written examination called “bonus exam”, 60 min (according Section 4(2), 3 of the examination regulation) or a selection of exersices . The bonus exam may be split into several shorter written tests. The grade of this course is the achieved grade in the written examination. If this grade is at least 4.0 and at most 1.3, a passed bonus exam will improve it by one grade level (i.e. by 0.3 or 0.4).

Prerequisites None

Below you will find excerpts from events related to this course:

Nature-Inspired Optimization Methods V Lecture (V) 2511106, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Many optimization problems are too complex to be solved to optimality. A promising alternative is to use stochastic heuristics, based on some fundamental principles observed in nature. Examples include evolutionary algorithms, ant algorithms, or simulated annealing. These methods are widely applicable and have proven very powerful in practice. During the course, such optimization methods based on natural principles are presented, analyzed and compared. Since the algorithms are usually quite computational intensive, possibilities for parallelization are also investigated. Learning objectives: Students learn:

• Different nature-inspired methods: local search, simulated annealing, tabu search, evolutionary algorithms, ant colony optimization, particle swarm optimization • Different aspects and limitation of the methods • Applications of such methods • Multi-objective optimization methods • Constraint handling methods • Different aspects in parallelization and computing platforms

Industrial Engineering and Management M.Sc. 539 Module Handbook as of 30/09/2021 7 COURSES Course: Nature-Inspired Optimization Methods [T-WIWI-102679]

Literature * E. L. Aarts and J. K. Lenstra: 'Local Search in Combinatorial Optimization'. Wiley, 1997 * D. Corne and M. Dorigo and F. Glover: 'New Ideas in Optimization'. McGraw-Hill, 1999 * C. Reeves: 'Modern Heuristic Techniques for Combinatorial Optimization'. McGraw-Hill, 1995 * Z. Michalewicz, D. B. Fogel: How to solve it: Modern Heuristics. Springer, 1999 * E. Bonabeau, M. Dorigo, G. Theraulaz: 'Swarm Intelligence'. Oxford University Press, 1999 * A. E. Eiben, J. E. Smith: 'Introduction to Evolutionary Computation'. * M. Dorigo, T. Stützle: 'Ant Colony Optimization'. Bradford Book, 2004 Springer, 2003

Industrial Engineering and Management M.Sc. 540 Module Handbook as of 30/09/2021 7 COURSES Course: Non- and Semiparametrics [T-WIWI-103126]

T 7.271 Course: Non- and Semiparametrics [T-WIWI-103126]

Responsible: Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Competence Certificate The assessment consists of a written exam (90 minutes) (following §4(2), 1 of the examination regulation).

Prerequisites None

Recommendation Knowledge of the contents covered by the course "Applied Econometrics" [2520020]

Annotation The course takes place every second winter semester: 2018/19 then 2020/21

Industrial Engineering and Management M.Sc. 541 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Control Systems [T-ETIT-100980]

T 7.272 Course: Nonlinear Control Systems [T-ETIT-100980]

Responsible: Dr.-Ing. Mathias Kluwe Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101157 - Control Engineering II

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 2303173 Nichtlineare Regelungssysteme 2 SWS Lecture / 🖥 Kluwe Exams ST 2021 7303173 Nonlinear Control Systems Kluwe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites none

Industrial Engineering and Management M.Sc. 542 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Optimization I [T-WIWI-102724]

T 7.273 Course: Nonlinear Optimization I [T-WIWI-102724]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 4

Events WT 21/22 2550111 Nonlinear Optimization I 2 SWS Lecture Stein WT 21/22 2550112 Exercises Nonlinear Practice Stein, Beck, Schwarze, Optimization I + II Neumann Exams ST 2021 7900252_SS2021_NK Nonlinear Optimization I Stein

Competence Certificate The assessment consists of a written exam (60 minutes) according to Section 4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The exam takes place in the semester of the lecture and in the following semester. The examination can also be combined with the examination of Nonlinear Optimization II [2550113]. In this case, the duration of the written examination takes 120 minutes.

Prerequisites The module component exam T-WIWI-103637 "Nonlinear Optimization I and II" may not be selected.

Annotation Part I and II of the lecture are held consecutively in the same semester.

Below you will find excerpts from events related to this course:

Nonlinear Optimization I V Lecture (V) 2550111, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The lecture treats the minimization of smooth nonlinear functions without constraints. For such problems, which occur very often in economics, engineering, and natural sciences, optimality conditions are derived and, based on them, solution algorithms are developed. The lecture is structured as follows:

• Introduction, examples, and terminology • Existence results for optimal points • First and second order optimality condtions • Algorithms (line search, steepest descent method, variable metric methods, Newton method, Quasi Newton methods, CG method, trust region method)

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of optimization problems with constraints forms the contents of the lecture "Nonlinear Optimization II". The lectures "Nonlinear Optimization I" and "Nonlinear Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands fundamentals of unconstrained nonlinear optimization, • is able to choose, design and apply modern techniques of unconstrained nonlinear optimization in practice.

Industrial Engineering and Management M.Sc. 543 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Optimization I [T-WIWI-102724]

Literature O. Stein, Grundzüge der Nichtlinearen Optimierung, SpringerSpektrum, 2018 Weiterführende Literatur:

• W. Alt, Nichtlineare Optimierung, Vieweg, 2002 • M.S. Bazaraa, H.D. Sherali, C.M. Shetty, Nonlinear Programming, Wiley, 1993 • O. Güler, Foundations of Optimization, Springer, 2010 • H.Th. Jongen, K. Meer, E. Triesch, Optimization Theory, Kluwer, 2004 • J. Nocedal, S. Wright, Numerical Optimization, Springer, 2000

Industrial Engineering and Management M.Sc. 544 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Optimization I and II [T-WIWI-103637]

T 7.274 Course: Nonlinear Optimization I and II [T-WIWI-103637]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 9 Grade to a third Each winter term 6

Events WT 21/22 2550111 Nonlinear Optimization I 2 SWS Lecture Stein WT 21/22 2550112 Exercises Nonlinear Practice Stein, Beck, Schwarze, Optimization I + II Neumann WT 21/22 2550113 Nonlinear Optimization II 2 SWS Lecture Stein Exams ST 2021 7900266_SS2021_NK Nonlinear Optimization I and II Stein

Competence Certificate The assessment consits of a written exam (120 minutes) according to Section 4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The exam takes place in the semester of the lecture and in the following semester.

Prerequisites None.

Annotation Part I and II of the lecture are held consecutively in the same semester.

Below you will find excerpts from events related to this course:

Nonlinear Optimization I V Lecture (V) 2550111, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The lecture treats the minimization of smooth nonlinear functions without constraints. For such problems, which occur very often in economics, engineering, and natural sciences, optimality conditions are derived and, based on them, solution algorithms are developed. The lecture is structured as follows:

• Introduction, examples, and terminology • Existence results for optimal points • First and second order optimality condtions • Algorithms (line search, steepest descent method, variable metric methods, Newton method, Quasi Newton methods, CG method, trust region method)

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of optimization problems with constraints forms the contents of the lecture "Nonlinear Optimization II". The lectures "Nonlinear Optimization I" and "Nonlinear Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands fundamentals of unconstrained nonlinear optimization, • is able to choose, design and apply modern techniques of unconstrained nonlinear optimization in practice.

Industrial Engineering and Management M.Sc. 545 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Optimization I and II [T-WIWI-103637]

Literature O. Stein, Grundzüge der Nichtlinearen Optimierung, SpringerSpektrum, 2018 Weiterführende Literatur:

• W. Alt, Nichtlineare Optimierung, Vieweg, 2002 • M.S. Bazaraa, H.D. Sherali, C.M. Shetty, Nonlinear Programming, Wiley, 1993 • O. Güler, Foundations of Optimization, Springer, 2010 • H.Th. Jongen, K. Meer, E. Triesch, Optimization Theory, Kluwer, 2004 • J. Nocedal, S. Wright, Numerical Optimization, Springer, 2000

Nonlinear Optimization II V Lecture (V) 2550113, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The lecture treats the minimization of smooth nonlinear functions under nonlinear constraints. For such problems, which occur very often in economics, engineering, and natural sciences, optimality conditions are derived and, based on them, solution algorithms are developed. The lecture is structured as follows:

• Topology and first order approximations of the feasible set • Theorems of the alternative, first and second order optimality conditions • Algorithms (penalty method, multiplier method, barrier method, interior point method, SQP method, quadratic optimization)

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of optimization problems without constraints forms the contents of the lecture "Nonlinear Optimization I". The lectures "Nonlinear Optimization I" and "Nonlinear Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands fundamentals of constrained nonlinear optimization, • is able to choose, design and apply modern techniques of constrained nonlinear optimization in practice.

Literature O. Stein, Grundzüge der Nichtlinearen Optimierung, SpringerSpektrum, 2018 Weiterführende Literatur:

• W. Alt, Nichtlineare Optimierung, Vieweg, 2002 • M.S. Bazaraa, H.D. Sherali, C.M. Shetty, Nonlinear Programming, Wiley, 1993 • O. Güler, Foundations of Optimization, Springer, 2010 • H.Th. Jongen, K. Meer, E. Triesch, Optimization Theory, Kluwer, 2004 • J. Nocedal, S. Wright, Numerical Optimization, Springer, 2000

Industrial Engineering and Management M.Sc. 546 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Optimization II [T-WIWI-102725]

T 7.275 Course: Nonlinear Optimization II [T-WIWI-102725]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 3

Events WT 21/22 2550112 Exercises Nonlinear Practice Stein, Beck, Schwarze, Optimization I + II Neumann WT 21/22 2550113 Nonlinear Optimization II 2 SWS Lecture Stein Exams ST 2021 7900258_SS2021_NK Nonlinear Optimization II Stein

Competence Certificate The assessment consits of a written exam (60 minutes) according to Section 4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The exam takes place in the semester of the lecture and in the following semester. The exam can also be combined with the examination of Nonlinear Optimization I [2550111]. In this case, the duration of the written exam takes 120 minutes.

Prerequisites None.

Annotation Part I and II of the lecture are held consecutively in the same semester.

Below you will find excerpts from events related to this course:

Nonlinear Optimization II V Lecture (V) 2550113, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The lecture treats the minimization of smooth nonlinear functions under nonlinear constraints. For such problems, which occur very often in economics, engineering, and natural sciences, optimality conditions are derived and, based on them, solution algorithms are developed. The lecture is structured as follows:

• Topology and first order approximations of the feasible set • Theorems of the alternative, first and second order optimality conditions • Algorithms (penalty method, multiplier method, barrier method, interior point method, SQP method, quadratic optimization)

The lecture is accompanied by exercises which, amongst others, offers the opportunity to implement and to test some of the methods on practically relevant examples. Remark: The treatment of optimization problems without constraints forms the contents of the lecture "Nonlinear Optimization I". The lectures "Nonlinear Optimization I" and "Nonlinear Optimization II" are held consecutively in the same semester. Learning objectives: The student

• knows and understands fundamentals of constrained nonlinear optimization, • is able to choose, design and apply modern techniques of constrained nonlinear optimization in practice.

Industrial Engineering and Management M.Sc. 547 Module Handbook as of 30/09/2021 7 COURSES Course: Nonlinear Optimization II [T-WIWI-102725]

Literature O. Stein, Grundzüge der Nichtlinearen Optimierung, SpringerSpektrum, 2018 Weiterführende Literatur:

• W. Alt, Nichtlineare Optimierung, Vieweg, 2002 • M.S. Bazaraa, H.D. Sherali, C.M. Shetty, Nonlinear Programming, Wiley, 1993 • O. Güler, Foundations of Optimization, Springer, 2010 • H.Th. Jongen, K. Meer, E. Triesch, Optimization Theory, Kluwer, 2004 • J. Nocedal, S. Wright, Numerical Optimization, Springer, 2000

Industrial Engineering and Management M.Sc. 548 Module Handbook as of 30/09/2021 7 COURSES Course: Novel Actuators and Sensors [T-MACH-102152]

T 7.276 Course: Novel Actuators and Sensors [T-MACH-102152]

Responsible: Prof. Dr. Manfred Kohl Dr. Martin Sommer Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101294 - Nanotechnology M-MACH-101295 - Optoelectronics and Optical Communication

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each winter term 3

Events WT 21/22 2141865 Novel actuators and sensors 2 SWS Lecture / 🧩 Kohl, Sommer Exams ST 2021 76-T-MACH-102152 Novel Actuators and Sensors Sommer, Kohl WT 21/22 76-T-MACH-102152 Novel Actuators and Sensors Kohl, Sommer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 60 minutes

Prerequisites none

Below you will find excerpts from events related to this course:

Novel actuators and sensors V Lecture (V) 2141865, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature - Vorlesungsskript "Neue Aktoren" und Folienskript "Sensoren" - Donald J. Leo, Engineering Analysis of Smart Material Systems, John Wiley & Sons, Inc., 2007 - "Sensors Update", Edited by H.Baltes, W. Göpel, J. Hesse, VCH, 1996, ISBN: 3-527-29432-5 - "Multivariate Datenanalyse – Methodik und Anwendungen in der Chemie", R. Henrion, G. Henrion, Springer 1994, ISBN 3-540-58188-X

Industrial Engineering and Management M.Sc. 549 Module Handbook as of 30/09/2021 7 COURSES Course: Open Science & Reproducibility [T-WIWI-111394]

T 7.277 Course: Open Science & Reproducibility [T-WIWI-111394]

Responsible: Prof. Dr. Benjamin Scheibehenne Organisation: KIT Department of Economics and Management Part of: M-WIWI-105714 - Consumer Research

Type Credits Grading scale Recurrence Expansion Version Examination of another type 4,5 Grade to a third Each summer term 1 terms 1

Competence Certificate Alternative exam assessment. Details will be communicated at the first day of the class.

Annotation This course introduces the current debates around Open Science and Reproducibility. Since 2011, the social sciences are confronted with the replication crisis. Many study results, for example from psychology and economics, cannot be replicated. This calls into question the validity of research results in these fields. In this course, we discuss possible reasons for this crisis, ranging from the incentive structure in the publication process over questionable research practices to fraud. We will discuss possible solutions that have been developed to improve science such as replication projects, pre-registration, registered reports and open peer review. The students will develop an understanding of current debates and evolve a critical perspective on their own research practices. The number of participants is limited. The registration will take place via the Wiwi-Portal. The workload of the class is 4.5 ECTS. This consists of active participation in regular sessions, smaller presentations by the students during the semester, preparation of the literature, and an exam (“Prüfungsleistung anderer Art”). Details will be communicated at the first day of the class.

Industrial Engineering and Management M.Sc. 550 Module Handbook as of 30/09/2021 7 COURSES Course: Operation Methods for Earthmoving [T-BGU-101801]

T 7.278 Course: Operation Methods for Earthmoving [T-BGU-101801]

Responsible: Dr.-Ing. Heinrich Schlick Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Oral examination 1,5 Grade to a third Each winter term 1

Events WT 21/22 6241905 Erdbau 1 SWS Lecture / 🧩 Haghsheno, Schwarzweller Exams ST 2021 8240101801 Operation Methods for Earthmoving Schneider

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 551 Module Handbook as of 30/09/2021 7 COURSES Course: Operation Methods for Foundation and Marine Construction [T-BGU-101832]

T 7.279 Course: Operation Methods for Foundation and Marine Construction [T- BGU-101832]

Responsible: Dr.-Ing. Harald Schneider Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Oral examination 1,5 Grade to a third Each winter term 1

Events WT 21/22 6241904 Tiefbau 1 SWS Lecture Haghsheno, Schneider Exams ST 2021 8240101832 Operation Methods for Foundation and Marine Construction Schneider

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 552 Module Handbook as of 30/09/2021 7 COURSES Course: Operations Research in Health Care Management [T-WIWI-102884]

T 7.280 Course: Operations Research in Health Care Management [T-WIWI-102884]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: M-WIWI-102805 - Service Operations

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 2

Competence Certificate The assessment is a 60 minutes written examination (according to §4(2), 1 of the examination regulation). The examination is held in the term of the lecture and the following lecture.

Prerequisites None

Recommendation Basic knowledge as conveyed in the module "Introduction to Operations Research" is assumed.

Annotation The course is offered irregularly. Planned lectures for the next three years can be found in the internet at http://dol.ior.kit.edu/ english/Courses.php.

Industrial Engineering and Management M.Sc. 553 Module Handbook as of 30/09/2021 7 COURSES Course: Operations Research in Supply Chain Management [T-WIWI-102715]

T 7.281 Course: Operations Research in Supply Chain Management [T-WIWI-102715]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-102805 - Service Operations M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 2

Exams ST 2021 7900283 Operations Research in Supply Chain Management Nickel

Competence Certificate The assessment is a 60 minutes written examination (according to §4(2), 1 of the examination regulation). The examination is held in the term of the lecture and the following lecture.

Prerequisites None

Recommendation Basic knowledge as conveyed in the module Introduction to Operations Research and in the lectures Facility Location and Strategic SCM,Tactical and operational SCMis assumed.

Annotation The course is offered irregularly. Planned lectures for the next three years can be found in the internet at http://dol.ior.kit.edu/ english/Courses.php.

Industrial Engineering and Management M.Sc. 554 Module Handbook as of 30/09/2021 7 COURSES Course: Optical Transmitters and Receivers [T-ETIT-100639]

T 7.282 Course: Optical Transmitters and Receivers [T-ETIT-100639]

Responsible: Prof. Dr. Wolfgang Freude Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-MACH-101295 - Optoelectronics and Optical Communication

Type Credits Grading scale Recurrence Version Oral examination 6 Grade to a third Each winter term 2

Events WT 21/22 2309460 Optical Transmitters and Receivers 2 SWS Lecture Freude WT 21/22 2309461 Tutorial for 2309460 Optical 2 SWS Practice Freude Transmitters and Receivers Exams ST 2021 7300007 Optical Transmitters and Receivers - Re-examination Freude ST 2021 7309460 Optical Transmitters and Receivers Freude WT 21/22 7309460 Optical Transmitters and Receivers Freude

Prerequisites none

Industrial Engineering and Management M.Sc. 555 Module Handbook as of 30/09/2021 7 COURSES Course: Optical Waveguides and Fibers [T-ETIT-101945]

T 7.283 Course: Optical Waveguides and Fibers [T-ETIT-101945]

Responsible: Prof. Dr.-Ing. Christian Koos Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-MACH-101292 - Microoptics M-MACH-101295 - Optoelectronics and Optical Communication

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2309464 Optical Waveguides and Fibers 2 SWS Lecture Koos WT 21/22 2309465 Tutorial for 2309464 Optical 1 SWS Practice Koos Waveguides and Fibers Exams ST 2021 7309464 Optical Waveguides and Fibers Koos WT 21/22 7309464 Optical Waveguides and Fibers Koos

Prerequisites none

Industrial Engineering and Management M.Sc. 556 Module Handbook as of 30/09/2021 7 COURSES Course: Optimization Models and Applications [T-WIWI-110162]

T 7.284 Course: Optimization Models and Applications [T-WIWI-110162]

Responsible: Dr. Nathan Sudermann-Merx Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming M-WIWI-102832 - Operations Research in Supply Chain Management M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 1

Competence Certificate The examination will take place for the last time in the winter semester 2020/2021. The assessment consists of a written exam (60 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulation. The prerequisite for participation in the exam is the achievement of a minimum number of points in delivery sheets. Details will be announced at the beginning of the course.

Prerequisites None.

Annotation The course will take place for the last time in the winter semester 20/21.

Industrial Engineering and Management M.Sc. 557 Module Handbook as of 30/09/2021 7 COURSES Course: Optimization Under Uncertainty [T-WIWI-106545]

T 7.285 Course: Optimization Under Uncertainty [T-WIWI-106545]

Responsible: Prof. Dr. Steffen Rebennack Organisation: KIT Department of Economics and Management Part of: M-WIWI-103289 - Stochastic Optimization

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 3

Exams ST 2021 7900309 Optimization under Uncertainty Rebennack

Competence Certificate The assessment consists of a written exam (60 minutes) according to Section 4(2), 1 of the examination regulation. The exam takes place in every the semester.

Prerequisites None.

Industrial Engineering and Management M.Sc. 558 Module Handbook as of 30/09/2021 7 COURSES Course: Optoelectronic Components [T-ETIT-101907]

T 7.286 Course: Optoelectronic Components [T-ETIT-101907]

Responsible: Prof. Dr. Wolfgang Freude Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-MACH-101287 - Microsystem Technology

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events

ST 2021 2309486 Optoelectronic Components 2 SWS Lecture / 🖥 Freude ST 2021 2309487 Optoelectronic Components 1 SWS Practice / 🖥 Freude (Tutorial) Exams ST 2021 7300009 Optoelectronic Components - repeat exam Freude ST 2021 7309486 Optoelectronic Components Freude WT 21/22 7309486 Optoelectronic Components Freude

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites none

Industrial Engineering and Management M.Sc. 559 Module Handbook as of 30/09/2021 7 COURSES Course: Panel Data [T-WIWI-103127]

T 7.287 Course: Panel Data [T-WIWI-103127]

Responsible: apl. Prof. Dr. Wolf-Dieter Heller Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2520320 Panel Data 2 SWS Lecture / 🖥 Heller ST 2021 2520321 Übungen zu Paneldaten 2 SWS Practice / 🖥 Heller Exams ST 2021 7900115 Panel Data Heller

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Below you will find excerpts from events related to this course:

Panel Data V Lecture (V) 2520320, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Content: Fixed-Effects-Models, Random-Effects-Models, Time-Demeaning Workload: Total workload for 4.5 CP: approx. 135 hours Attendance: 30 hours Preparation and follow-up: 65 hours Exam preparation: 40 hours Exam preparation: 40 hours

Literature Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge and London: MIT Press. Wooldridge, J. M. (2009). Introductory Econometrics: A Modern Approach (5th ed.). Mason, Ohio: South-Western Cengage Learning.

Industrial Engineering and Management M.Sc. 560 Module Handbook as of 30/09/2021 7 COURSES Course: Parametric Optimization [T-WIWI-102855]

T 7.288 Course: Parametric Optimization [T-WIWI-102855]

Responsible: Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101473 - Mathematical Programming

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Exams ST 2021 7900274_SS2021_NK Parametric Optimization Stein

Competence Certificate The assessment of the lecture is a written examination (60 minutes) according to §4(2), 1 of the examination regulation. The successful completion of the exercises is required for admission to the written exam. The examination is held in the semester of the lecture and in the following semester.

Prerequisites None

Recommendation It is strongly recommended to visit at least one lecture from the Bachelor program of this chair before attending this course.

Annotation The lecture is offered irregularly. The curriculum of the next three years is available online (www.ior.kit.edu).

Industrial Engineering and Management M.Sc. 561 Module Handbook as of 30/09/2021 7 COURSES Course: Personalization and Services [T-WIWI-102848]

T 7.289 Course: Personalization and Services [T-WIWI-102848]

Responsible: Andreas Sonnenbichler Organisation: KIT Department of Economics and Management Part of: M-WIWI-101410 - Business & Service Engineering M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 1

Competence Certificate The exam is currently not offered. Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.

Prerequisites None

Recommendation None

Annotation The course is currently not offered.

Industrial Engineering and Management M.Sc. 562 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL01 [T-WIWI-106291]

T 7.290 Course: PH APL-ING-TL01 [T-WIWI-106291]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Once 1

Exams ST 2021 7500149_0723 Context Sensitive Systems Beigl, Riedel

Industrial Engineering and Management M.Sc. 563 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL02 [T-WIWI-106292]

T 7.291 Course: PH APL-ING-TL02 [T-WIWI-106292]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Once 1

Industrial Engineering and Management M.Sc. 564 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL03 [T-WIWI-106293]

T 7.292 Course: PH APL-ING-TL03 [T-WIWI-106293]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Once 1

Industrial Engineering and Management M.Sc. 565 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL04 ub [T-WIWI-106294]

T 7.293 Course: PH APL-ING-TL04 ub [T-WIWI-106294]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Completed coursework 0 pass/fail Once 1

Industrial Engineering and Management M.Sc. 566 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL05 ub [T-WIWI-106295]

T 7.294 Course: PH APL-ING-TL05 ub [T-WIWI-106295]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Completed coursework 0 pass/fail Once 1

Industrial Engineering and Management M.Sc. 567 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL06 ub [T-WIWI-106296]

T 7.295 Course: PH APL-ING-TL06 ub [T-WIWI-106296]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Completed coursework 0 pass/fail Once 1

Industrial Engineering and Management M.Sc. 568 Module Handbook as of 30/09/2021 7 COURSES Course: PH APL-ING-TL07 [T-WIWI-108384]

T 7.296 Course: PH APL-ING-TL07 [T-WIWI-108384]

Organisation: University Part of: M-WIWI-101404 - Extracurricular Module in Engineering

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Once 1

Industrial Engineering and Management M.Sc. 569 Module Handbook as of 30/09/2021 7 COURSES Course: Physical Basics of Laser Technology [T-MACH-102102]

T 7.297 Course: Physical Basics of Laser Technology [T-MACH-102102]

Responsible: Dr.-Ing. Johannes Schneider Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 5 Grade to a third Each winter term 3

Events WT 21/22 2181612 Physical basics of laser 3 SWS Lecture / Practice ( / Schneider technology 🖥 Exams ST 2021 76-T-MACH-102102 Physical Basics of Laser Technology Schneider

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination (30 min) no tools or reference materials

Prerequisites It is not possible, to combine this brick with brick Laser Application in Automotive Engineering [T-MACH-105164] and brick Physical Basics of Laser Technology [T-MACH-109084]

Recommendation Basic knowledge of physics, chemistry and material science

Below you will find excerpts from events related to this course:

Physical basics of laser technology V Lecture / Practice (VÜ) 2181612, WS 21/22, 3 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 570 Module Handbook as of 30/09/2021 7 COURSES Course: Physical Basics of Laser Technology [T-MACH-102102]

Content Based on the description of the physical basics about the formation and the properties of laser light the lecture goes through the different types of laser beam sources used in industry these days. The lecture focuses on the usage of lasers especially in materials engineering. Other areas like measurement technology or medical applications are also mentioned.

• physical basics of laser technology • laser beam sources (solid state, diode, gas, liquid and other lasers) • beam properties, guiding and shaping • lasers in materials processing • lasers in measurement technology • lasers for medical applications • savety aspects

The lecture is complemented by a tutorial. The student

• can explain the principles of light generation, the conditions for light amplification as well as the basic structure and function of different laser sources. • can describe the influence of laser, material and process parameters for the most important methods of laser-based materials processing and choose laser sources suitable for specific applications. • can illustrate the possible applications of laser sources in measurement and medicine technology • can explain the requirements for safe handling of laser radiation and for the design of safe laser systems.

Basic knowledge of physics, chemistry and material science is assumed. regular attendance: 33,5 hours self-study: 116,5 hours The assessment consists of an oral exam (ca. 30 min) taking place at the agreed date (according to Section 4(2), 2 of the examination regulation). The re-examination is offered upon agreement. It is allowed to select only one of the lectures "Laser in automotive engineering" (2182642) or "Physical basics of laser technology" (2181612) during the Bachelor and Master studies.

Organizational issues Termine für die Übung werden in der Vorlesung bekannt gegeben!

Literature F. K. Kneubühl, M. W. Sigrist: Laser, 2008, Vieweg+Teubner T. Graf: Laser - Grundlagen der Laserstrahlerzeugung 2015, Springer Vieweg R. Poprawe: Lasertechnik für die Fertigung, 2005, Springer H. Hügel, T. Graf: Laser in der Fertigung, 2014, Springer Vieweg J. Eichler, H.-J. Eichler: Laser - Bauformen, Strahlführung, Anwendungen, 2015, Springer W. T. Silfvast: Laser Fundamentals, 2004, Cambridge University Press W. M. Steen: Laser Material Processing, 2010, Springer

Industrial Engineering and Management M.Sc. 571 Module Handbook as of 30/09/2021 7 COURSES Course: Physics for Engineers [T-MACH-100530]

T 7.298 Course: Physics for Engineers [T-MACH-100530]

Responsible: Prof. Dr. Martin Dienwiebel Prof. Dr. Peter Gumbsch apl. Prof. Dr. Alexander Nesterov-Müller Dr. Daniel Weygand Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101291 - Microfabrication

Type Credits Grading scale Recurrence Version Written examination 6 Grade to a third Each summer term 1

Events ST 2021 2142890 Physics for Engineers 4 SWS Lecture / Practice ( / Weygand, Dienwiebel, 🖥 Nesterov-Müller, Gumbsch Exams ST 2021 76-T-MACH-100530 Physics for Engineers Gumbsch, Weygand, Nesterov-Müller, Dienwiebel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam 90 min

Prerequisites none

Below you will find excerpts from events related to this course:

Physics for Engineers V Lecture / Practice (VÜ) 2142890, SS 2021, 4 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 572 Module Handbook as of 30/09/2021 7 COURSES Course: Physics for Engineers [T-MACH-100530]

Content 1) Foundations of solid state physics

• Wave particle dualism • Tunnelling • Schrödinger equation • H-atom

2) Electrical conductivity of solids

• solid state: periodic potentials • Pauli Principle • band structure • metals, semiconductors and isolators • p-n junction / diode

3) Optics

• quantum mechanical principles of the laser • linear optics • non-linear optics

Exercises are used for complementing and deepening the contents of the lecture as well as for answering more extensive questions raised by the students and for testing progress in learning of the topics. The student

• has the basic understanding of the physical foundations to explain the relationship between the quantum mechanical principles and the optical as well as electrical properties of materials • can describe the fundamental experiments, which allow the illustration of these principles regular attendance: 22,5 hours (lecture) and 22,5 hours (excerises) self-study: 105 hours The assessment consists of a written exam (90 minutes) (following §4(2), 1 of the examination regulation).

Organizational issues Kursbeitritt erfolgt bis zum 15.4.2021 (erste Vorlesung) ohne Passwort. Kontakt: [email protected]

Literature

• Tipler und Mosca: Physik für Wissenschaftler und Ingenieure, Elsevier, 2004 • Haken und Wolf: Atom- und Quantenphysik. Einführung in die experimentellen und theoretischen Grundlagen, 7. Aufl., Springer, 2000 • Harris, Moderne Physik, Pearson Verlag, 2013

Industrial Engineering and Management M.Sc. 573 Module Handbook as of 30/09/2021 7 COURSES Course: Planning and Management of Industrial Plants [T-WIWI-102631]

T 7.299 Course: Planning and Management of Industrial Plants [T-WIWI-102631]

Responsible: Prof. Dr. Frank Schultmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 5,5 Grade to a third Each winter term 1

Events

WT 21/22 2581952 Planning and Management of 2 SWS Lecture / 🖥 Glöser-Chahoud, Industrial Plants Schultmann

WT 21/22 2581953 Übungen Anlagenwirtschaft 2 SWS Practice / 🖥 Heck, Heinzmann, Glöser-Chahoud Exams ST 2021 7981952 Planning and Management of Industrial Plants Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (90 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Planning and Management of Industrial Plants V Lecture (V) 2581952, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content Industrial plant management incorporates a complex set of tasks along the entire life cycle of an industrial plant, starting with the initiation and erection up to operating and dismantling. During this course students will get to know special characteristics of industrial plant management. Students will learn important methods to plan, realize and supervise the supply, start-up, maintenance, optimisation and shut-down of industrial plants. Alongside, students will have to handle the inherent question of choosing between technologies and evaluating each of them. This course pays special attention to the specific characteristics of plant engineering, commissioning and investment.

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 574 Module Handbook as of 30/09/2021 7 COURSES Course: PLM for Product Development in Mechatronics [T-MACH-102181]

T 7.300 Course: PLM for Product Development in Mechatronics [T-MACH-102181]

Responsible: Prof. Dr.-Ing. Martin Eigner Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events

ST 2021 2122376 PLM for product development in Lecture / 🗙 Eigner mechatronics

WT 21/22 2122376 PLM for product development in 2 SWS Lecture / 🗣 Eigner mechatronics

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination 20 min.

Prerequisites none

Below you will find excerpts from events related to this course:

PLM for product development in mechatronics V Lecture (V) 2122376, SS 2021, SWS, Language: German, Open in study portal Cancelled

Content Students are able to

• compare product data management and product lifecycle management. • describe the components and core functions of a PLM solution • explain trends from research and practice in the field of PLM form mechatronic product development

Organizational issues Blockveranstaltung, Teilnehmerzahl begrenzt.

Literature Vorlesungsfolien / lecture slides

PLM for product development in mechatronics V Lecture (V) 2122376, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content Students are able to

• compare product data management and product lifecycle management. • describe the components and core functions of a PLM solution • explain trends from research and practice in the field of PLM form mechatronic product development

Organizational issues Blockveranstaltung, Zeit und Ort siehe Homepage oder ILIAS zur Lehrveranstaltung.

Literature Vorlesungsfolien / lecture slides

Industrial Engineering and Management M.Sc. 575 Module Handbook as of 30/09/2021 7 COURSES Course: Plug-and-Play Material Handling [T-MACH-106693]

T 7.301 Course: Plug-and-Play Material Handling [T-MACH-106693]

Responsible: Jonathan Auberle Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Completed coursework 4 pass/fail Each winter term 2

Events WT 21/22 2117070 Plug-and-play material handling 2 SWS Practical course / 🧩 Furmans, Müller, Enke

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Presentation of the four steps of the course content (design, implementation, test concept and evaluation)

Prerequisites None

Below you will find excerpts from events related to this course:

Plug-and-play material handling V Practical course (P) 2117070, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• Theoretical basics and structure of plug-and-play-capable material handling technology • Practical application of the contents in teamwork using various industry-related hardware components • Development of a heterogeneous integrated mechatronic system • Planning and implementation of a control system using the software framework ROS and the programming language Python • Use of a simulation environment for development and transition from simulation to real hardware • Use of different sensor systems • Presentation of the work results and evaluation of these on the basis of logistical key figures

The students will be able to:

• Name and explain the basics of plug-and-play conveyor technology • Expand their knowledge of plug-and-play conveyor technology through independent research • Apply the theory they have learned to a practical problem • Deal with the software framework ROS (Robot Operating System) • Evaluate developed solutions on the basis of logistical key figures

Organizational issues Die Teilnehmerzahl ist beschränkt. Die Auswahl erfolgt nach einem Auswahlverfahren. Um sich für die Teilnahme zu bewerben stellen Sie bitte einen aufnahmeantrag für den aktuellen Ilias-Kurs mit einem kurzen Bewerbungstext. Dieser sollte ihre bisherigen Erfahrungen sowie ihre Motivation für das Praktikum behinhalten. Das Praktikum findet zwei Wochen in Vollzeit statt. Der genaue Zeitraum wird Anfang Frühjahr 2022 auf der Institutswebsite bekanntgegeben. Ob die Veranstaltung online stattfinden wird oder eine Durchführung in Präsenz möglich ist, wird mit Veröffentlichung des Veranstaltungszeitraums bekannt gegeben.

Industrial Engineering and Management M.Sc. 576 Module Handbook as of 30/09/2021 7 COURSES Course: Polymer Engineering I [T-MACH-102137]

T 7.302 Course: Polymer Engineering I [T-MACH-102137]

Responsible: Prof. Dr.-Ing. Peter Elsner Dr.-Ing. Wilfried Liebig Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2173590 Polymer Engineering I 2 SWS Lecture / 🧩 Elsner, Liebig Exams ST 2021 76-T-MACH-102137 Polymer Engineering I Elsner, Liebig

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral exam, about 25 minutes

Prerequisites none

Below you will find excerpts from events related to this course:

Polymer Engineering I V Lecture (V) 2173590, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content 1. Economical aspects of polymers 2. Introductiom of mechanical, chemical end electrical properties 3. Processing of polymers (introduction) 4. Material science of polymers 5. Synthesis learning objectives: The field of Polymer Engineering includes synthesis, material science, processing, construction, design, tool engineering, production technology, surface engineering and recycling. The aim is, to equip the students with knowledge and technical skills, and to use the material "polymer" meeting its requirements in an economical and ecological way. The students

• are able to describe and classify polymers based on the fundamental synthesis processing techniques • can find practical applications for state-of-the-art polymers and manufacturing technologies • are able to apply the processing techniques, the application of polymers and polymer composites regarding to the basic principles of material science • can describe the special mechanical, chemical and elctrical prooperties of polymers and correlate these properties to the chemical bindings. • can define application areas and the limitation in the use of polymers requirements: none workload: regular attendance: 21 hours self-study: 99 hours

Industrial Engineering and Management M.Sc. 577 Module Handbook as of 30/09/2021 7 COURSES Course: Polymer Engineering I [T-MACH-102137]

Organizational issues Die ersten beiden Vorlesungen finden in dem im Vorlesungsverzeichnis ausgewiesenen Raum am KIT statt. Einige darauffolgende Vorlesungen finden jeweils von 16:20-19:20 am ICT in Berghausen statt. Nähere Informationen dazu in den beiden ersten Vorlesungen.

Literature Literaturhinweise, Unterlagen und Teilmanuskript werden in der Vorlesung ausgegeben.

Industrial Engineering and Management M.Sc. 578 Module Handbook as of 30/09/2021 7 COURSES Course: Polymer Engineering II [T-MACH-102138]

T 7.303 Course: Polymer Engineering II [T-MACH-102138]

Responsible: Prof. Dr.-Ing. Peter Elsner Dr.-Ing. Wilfried Liebig Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events

ST 2021 2174596 Polymer Engineering II 2 SWS Lecture / 🖥 Elsner, Liebig Exams ST 2021 76-T-MACH-102138 Polymerengineering II Elsner, Liebig

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral exam, about 25 minutes

Prerequisites none

Recommendation Knowledge in Polymerengineering I

Below you will find excerpts from events related to this course:

Polymer Engineering II V Lecture (V) 2174596, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 579 Module Handbook as of 30/09/2021 7 COURSES Course: Polymer Engineering II [T-MACH-102138]

Content 1. Processing of polymers 2. Properties of polymer components Based on practical examples and components 2.1 Selection of material 2.2 Component design 2.3 Tool engineering 2.4 Production technology 2.5 Surface engineering 2.6 Sustainability, recycling learning objectives: The field of Polymer Engineering includes synthesis, material science, processing, construction, design, tool engineering, production technology, surface engineering and recycling. The aim is, that the students gather knowledge and technical skills to use the material "polymer" meeting its requirements in an economical and ecological way. The students

• can describe and classify different processing techniques and can exemplify mould design principles based on technical parts. • know about practical applications and processing of polymer parts • are able to design polymer parts according to given restrictions • can choose appropriate polymers based on the technical requirements • can decide how to use polymers regarding the production, economical and ecological requirements requirements: Polymerengineering I workload: The workload for the lecture Polymerengineering II is 120 h per semester and consists of the presence during the lecture (21 h) as well as preparation and rework time at home (99 h).

Literature Literaturhinweise, Unterlagen und Teilmanuskript werden in der Vorlesung ausgegeben. Recommended literature and selected official lecture notes are provided in the lecture.

Industrial Engineering and Management M.Sc. 580 Module Handbook as of 30/09/2021 7 COURSES Course: Polymers in MEMS A: Chemistry, Synthesis and Applications [T-MACH-102192]

T 7.304 Course: Polymers in MEMS A: Chemistry, Synthesis and Applications [T- MACH-102192]

Responsible: Dr.-Ing. Bastian Rapp Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 2141853 Polymers in MEMS A: 2 SWS / 🧩 Worgull Chemistry, Synthesis and Applications Exams ST 2021 76-T-MACH-102192 Polymers in MEMS A: Chemistry, Synthesis and Applications Rapp, Worgull

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination

Prerequisites none

Below you will find excerpts from events related to this course:

Polymers in MEMS A: Chemistry, Synthesis and Applications V 2141853, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Organizational issues Findet als Blockveranstaltung am Semesterende statt.

Industrial Engineering and Management M.Sc. 581 Module Handbook as of 30/09/2021 7 COURSES Course: Polymers in MEMS B: Physics, Microstructuring and Applications [T-MACH-102191]

T 7.305 Course: Polymers in MEMS B: Physics, Microstructuring and Applications [T- MACH-102191]

Responsible: Dr.-Ing. Matthias Worgull Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 2141854 Polymers in MEMS B: Physics, 2 SWS Lecture / 🧩 Worgull Microstructuring and Applications

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination

Prerequisites none

Below you will find excerpts from events related to this course:

Polymers in MEMS B: Physics, Microstructuring and Applications V Lecture (V) 2141854, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 582 Module Handbook as of 30/09/2021 7 COURSES Course: Polymers in MEMS C: Biopolymers and Bioplastics [T-MACH-102200]

T 7.306 Course: Polymers in MEMS C: Biopolymers and Bioplastics [T-MACH-102200]

Responsible: Dr.-Ing. Bastian Rapp Dr.-Ing. Matthias Worgull Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events ST 2021 2142855 Polymers in MEMS C - 2 SWS / 🧩 Worgull Biopolymers and Bioplastics Exams ST 2021 76-T-MACH-102200 Polymers in MEMS C: Biopolymers and Bioplastics Worgull, Rapp

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination

Prerequisites none

Below you will find excerpts from events related to this course:

Polymers in MEMS C - Biopolymers and Bioplastics V 2142855, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 583 Module Handbook as of 30/09/2021 7 COURSES Course: Polymers in MEMS C: Biopolymers and Bioplastics [T-MACH-102200]

Content Polymers are ubiquitous in everyday life: from packaging materials all the way to specialty products in medicine and medical engineering. Today it is difficult to find a product which does not (at least in parts) consist of polymeric materials. The question of how these materials can be improved with respect to their disposal and consumption of (natural) resources during manufacturing is often raised. Today polymers must be fully recycled in Germany and many other countries due to the fact that they do not (or only very slowly) decompose in nature. Furthermore significant reductions of crude oil consumption during synthesis are of increasing importance in order to improve the sustainability of this class of materials. With respect to disposal polymers which do not have to be disposed by combustion but rather allow natural decomposition (composting) are of increasing interest. Polymers from renewable sources are also of interest for modern microelectromechanical systems (MEMS) especially if the systems designed are intended as single-use products. This lecture will introduce the most important classes of these so-called biopolymers and bioplastics. It will also discuss and highlight polymers which are created from naturally created analogues (e.g. via fermentation) to petrochemical polymer precursors and describe their technical processing. Numerous examples from MEMS as well as everyday life will be given. Some of the topics covered are:

• What are biopolyurethanes and how can you produce them from castor oil? • What are "natural glues" and how are they different from chemical glues? • How do you make tires from natural rubbers? • What are the two most important polymers for life on earth? • How can you make polymers from potatoes? • Can wood be formed by injection molding? • How do you make buttons from milk? • Can you play music on biopolymers? • Where and how do you use polymers for tissue engineering? • How can you built LEGO with DNA?

The lecture will be given in German language unless non-German speaking students attend. In this case, the lecture will be given in English (with some German translations of technical vocabulary). The lecture slides are in English language and will be handed out for taking notes. Additional literature is not required. For further details, please contact the lecturer, PD Dr.-Ing. Matthias Worgull ([email protected]). Preregistration is not necessary.

Organizational issues Für weitere Rückfragen, wenden Sie sich bitte an PD Dr.-Ing- Matthias Worgull ([email protected]). Eine Voranmeldung ist nicht notwendig.

Literature Zusätzliche vorlesungsbegleitende Literatur ist nicht notwendig.

Industrial Engineering and Management M.Sc. 584 Module Handbook as of 30/09/2021 7 COURSES Course: Portfolio and Asset Liability Management [T-WIWI-103128]

T 7.307 Course: Portfolio and Asset Liability Management [T-WIWI-103128]

Responsible: Dr. Mher Safarian Organisation: KIT Department of Economics and Management Part of: M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2520357 Portfolio and Asset Liability 2 SWS Lecture / 🖥 Safarian Management

ST 2021 2520358 Übungen zu Portfolio and Asset 2 SWS Practice / 🖥 Safarian Liability Management Exams ST 2021 7900116 Portfolio and Asset Liability Management Safarian

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course consists of a written examination (following §4(2), 1 SPOs, 180 min.).

Prerequisites None

Below you will find excerpts from events related to this course:

Portfolio and Asset Liability Management V Lecture (V) 2520357, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Learning objectives: Knowledge of various portfolio management techniques in the financial industry. Content: Portfolio theory: principles of investment, Markowitz- portfolio analysis, Modigliani-Miller theorems and absence of arbitrage, efficient markets, capital asset pricing model (CAPM), multi factorial CAPM, arbitragepricing theory (APT), arbitrage and hedging, multi factorial models, equity-portfolio management, passive strategies, active investment Asset liability: statistical portfolio analysis in stock allocation, measures of success, dynamic multi seasonal models, models in building scenarios, stochastic programming in bond and liability management, optimal investment strategies, integrated asset liability management Workload: Total workload for 4.5 CP: approx. 135 hours Attendance: 30 hours Preparation and follow-up: 65 hours Exam preparation: 40 hours Exam preparation: 40 hours

Organizational issues Blockveranstaltung

Literature To be announced in the lecture

Industrial Engineering and Management M.Sc. 585 Module Handbook as of 30/09/2021 7 COURSES Course: Power Transmission and Power Network Control [T-ETIT-101941]

T 7.308 Course: Power Transmission and Power Network Control [T-ETIT-101941]

Responsible: Prof. Dr.-Ing. Thomas Leibfried Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101164 - Generation and Transmission of Renewable Power

Type Credits Grading scale Recurrence Version Written examination 5 Grade to a third Each summer term 1

Events

ST 2021 2307372 Power Transmission and Power 2 SWS Lecture / 🖥 Leibfried Network Control

ST 2021 2307374 Übungen zu 2307372 1 SWS Practice / 🖥 Präger Energieübertragung und Netzregelung Exams ST 2021 7307372 Power Transmission and Power Network Control Leibfried

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites none

Industrial Engineering and Management M.Sc. 586 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Course Polymers in MEMS [T-MACH-105556]

T 7.309 Course: Practical Course Polymers in MEMS [T-MACH-105556]

Responsible: Dr.-Ing. Bastian Rapp Dr.-Ing. Matthias Worgull Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication

Type Credits Grading scale Recurrence Version Completed coursework 3 pass/fail Each summer term 1

Events ST 2021 2142856 Practical Course Polymers in MEMS 2 SWS Block / 🧩 Worgull

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The practical course will close with an oral examination.There will be only passed and failed results, no grades.

Prerequisites none

Below you will find excerpts from events related to this course:

Practical Course Polymers in MEMS V Block (B) 2142856, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content This practical course complements the lectures "Polymers in MEMS A", "Polymers in MEMS B" and "Polymers in MEMS C" and will allow students to gain a deeper understanding of polymers and their processing. During the course of this practical course, various polymers will be synthesized and molded into components suitable for microelectromechanical systems (MEMS) applications. The aim of the course is to bring a polymer all the way from synthesis to application. The practical course will be given in German language unless non-German speaking students attend. In this case, the course will be given in English (with some German translations of technical vocabulary). Lecture notes for the experiments are in English language and will be handed out to the students. The practical course will be held "en block" at the end of the semester (presumably beginning of October) For further details, please contact PD Dr.-Ing. Matthias Worgull ([email protected]). Preregistration is mandatory. The number of participants is limited to 5 students.

Organizational issues Anmeldung und Terminabsprache in der Vorlesung (2142855) Für weitere Rückfragen, wenden Sie sich bitte an PD Dr.-Ing- Matthias Worgull ([email protected]). Eine Voranmeldung ist notwendig. Die Platzanzahl ist auf 5 Teilnehmer beschränkt.

Literature Vorlesungsunterlagen, dort empfohlene Literatur

Industrial Engineering and Management M.Sc. 587 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Course Technical Ceramics [T-MACH-105178]

T 7.310 Course: Practical Course Technical Ceramics [T-MACH-105178]

Responsible: Dr. Günter Schell Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Completed coursework 1 pass/fail Each winter term 1

Events WT 21/22 2125751 Practical Course Technical 2 SWS Practical course / 🧩 Schell Ceramics Exams WT 21/22 76-T-MACH-105178 Practical Course Technical Ceramics Schell

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Colloquium and laboratory report for the respective experiments.

Prerequisites none

Below you will find excerpts from events related to this course:

Practical Course Technical Ceramics V Practical course (P) 2125751, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Organizational issues Elektronisch über das ILIAS-Portal

Literature Salmang, H.: Keramik, 7. Aufl., Springer Berlin Heidelberg, 2007. - Online-Ressource

Richerson, D. R.: Modern Ceramic Engineering, CRC Taylor & Francis, 2006

Industrial Engineering and Management M.Sc. 588 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Seminar Digital Service Systems [T-WIWI-106563]

T 7.311 Course: Practical Seminar Digital Service Systems [T-WIWI-106563]

Responsible: Prof. Dr. Alexander Mädche Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-102808 - Digital Service Systems in Industry

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Irregular 1

Events

ST 2021 2540554 Practical Seminar: Information 3 SWS Lecture / 🖥 Mädche Systems & Service Design (Master) WT 21/22 2540554 Practical Seminar: Information 3 SWS Lecture Mädche Systems & Service Design Exams ST 2021 7900359 Practical Seminar Service Innovation Satzger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a seminar paper, a presentation of the results and the contribution to the discussion (according to §4(2), 3 of the examination regulation). The final grade is based on the evaluation of each component (seminar paper, oral presentation, and active participation).

Prerequisites None

Recommendation None

Annotation New course title starting summer term 2017: "Practical Seminar Digital Service Systems". The current range of seminar topics is announced on the KSRI website www.ksri.kit.edu.

Below you will find excerpts from events related to this course:

Practical Seminar: Information Systems & Service Design (Master) V Lecture (V) 2540554, SS 2021, 3 SWS, Open in study portal Online

Content In this practical seminar, students get an individual assignment and develop a running software prototype. Beside the software prototype, the students also deliver a written documentation. Prerequisites Profound skills in software development are required Literature Further literature will be made available in the seminar.

Practical Seminar: Information Systems & Service Design V Lecture (V) 2540554, WS 21/22, 3 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 589 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Seminar: Advanced Analytics [T-WIWI-108765]

T 7.312 Course: Practical Seminar: Advanced Analytics [T-WIWI-108765]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103118 - Data Science: Data-Driven User Modeling

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 1

Competence Certificate The assessment consists of practical work in the field of advanced analytics, a seminar paper, a presentation of the results and the contribution to the discussion (according to §4(2), 3 of the examination regulation). The final grade is based on the evaluation of each component (seminar paper, oral presentation, and active participation).

Prerequisites None

Recommendation At least one module offered by the institute should have been chosen before attending this seminar.

Annotation The course is held in English. The course is not offered regularly.

Industrial Engineering and Management M.Sc. 590 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Seminar: Data-Driven Information Systems [T-WIWI-106207]

T 7.313 Course: Practical Seminar: Data-Driven Information Systems [T-WIWI-106207]

Responsible: Prof. Dr. Alexander Mädche Prof. Dr. Gerhard Satzger Prof.Dr. Thomas Setzer Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103117 - Data Science: Data-Driven Information Systems

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Irregular 1

Exams ST 2021 7900373 Data Science for the Industrial Internet of Things Satzger WT 21/22 7900211 Practical Seminar: Data-Driven Information Systems Weinhardt, Setzer

Competence Certificate The assessment consists of a seminar paper, a presentation of the results and the contribution to the discussion (according to §4(2), 3 of the examination regulation). The final grade is based on the evaluation of each component (seminar paper, oral presentation, and active participation).

Prerequisites None

Recommendation At least one module offered by the institute should have been chosen before attending this seminar.

Annotation The course is held in english. The course is not offered regularly.

Industrial Engineering and Management M.Sc. 591 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Seminar: Health Care Management (with Case Studies) [T-WIWI-102716]

T 7.314 Course: Practical Seminar: Health Care Management (with Case Studies) [T- WIWI-102716]

Responsible: Prof. Dr. Stefan Nickel Organisation: KIT Department of Economics and Management Part of: M-WIWI-102805 - Service Operations

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 2

Events

ST 2021 2550498 Practical seminar: Health Care 3 SWS Practical course / 🖥 Nickel, Mitarbeiter Management

WT 21/22 2500008 Practical seminar: Health Care 3 SWS Practical course / 🗣 Nickel, Mitarbeiter Management Exams ST 2021 7900014 Practical Seminar: Health Care Management (with Case Studies) Nickel WT 21/22 7900105 Practical Seminar: Health Care Management (with Case Studies) Nickel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Due to a research semester of Professor Nickel in WS 19/20, the courses Location Planning and Strategic SCM and Practice Seminar: Health Care Management do NOT take place in WS 19/20. Please also refer to the information at https://dol.ior.kit.edu/ Lehrveranstaltungen.php for further details. The assessment consists in a case study, the writing of a corresponding paper, and an oral exam (according to §4(2), 2 of the examination regulation).

Prerequisites None.

Recommendation Basic knowledge as conveyed in the module Introduction toOperations Research is assumed.

Annotation The credits have been reduced to 4,5 starting summer term 2016. The lecture is offered every term. The planned lectures and courses for the next three years are announced online.

Industrial Engineering and Management M.Sc. 592 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Seminar: Information Systems and Service Design [T-WIWI-108437]

T 7.315 Course: Practical Seminar: Information Systems and Service Design [T- WIWI-108437]

Responsible: Prof. Dr. Alexander Mädche Organisation: KIT Department of Economics and Management Part of: M-WIWI-102806 - Service Innovation, Design & Engineering M-WIWI-104068 - Information Systems in Organizations M-WIWI-104080 - Designing Interactive Information Systems

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 2

Events

ST 2021 2540554 Practical Seminar: Information 3 SWS Lecture / 🖥 Mädche Systems & Service Design (Master) Exams ST 2021 7900262 Practical Seminar: Information Systems and Service Design / Mädche Seminarpraktikum: Information Systems und Service Design

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is according to §4(2), 3 SPO in form of a written documentation, a presentation of the outcome of the conducted practical components and an active participation in class. Please take into account that, beside the written documentation, also a practical component (e.g. implementation of a prototype) is part of the course. Please examine the course description for the particular tasks. The final mark is based on the graded and weighted attainments (such as the written documentation, presentation, practical work and an active participation in class). In the winter terms, the course is only offered as a seminar.

Prerequisites None.

Recommendation Attending the course „Digital Service Design“ is recommended, but not mandatory.

Annotation The course is held in English.

Below you will find excerpts from events related to this course:

Practical Seminar: Information Systems & Service Design (Master) V Lecture (V) 2540554, SS 2021, 3 SWS, Open in study portal Online

Content In this practical seminar, students get an individual assignment and develop a running software prototype. Beside the software prototype, the students also deliver a written documentation. Prerequisites Profound skills in software development are required Literature Further literature will be made available in the seminar.

Industrial Engineering and Management M.Sc. 593 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Seminar: Service Innovation [T-WIWI-110887]

T 7.316 Course: Practical Seminar: Service Innovation [T-WIWI-110887]

Responsible: Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101410 - Business & Service Engineering M-WIWI-102806 - Service Innovation, Design & Engineering

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Irregular 1

Exams ST 2021 7900359 Practical Seminar Service Innovation Satzger ST 2021 7900373 Data Science for the Industrial Internet of Things Satzger

Competence Certificate The assessment of this course is according to §4(2), 3 SPO in form of a written documentation, a presentation of the outcome of the conducted pracitical components and an active participation in class. Please take into account that, beside the written documentation, also a practical component (such as a survey or an implementation of an application) is part of the course. Please examine the course description for the particular tasks. The final mark is based on the graded and weighted attainments (such as the written documentation, presentation, practical work and an active participation in class).

Prerequisites None

Recommendation Knowledge of Service Innovation Methods is assumed. Therefore it is recommended to attend the course Service Innovation [2540468] beforehand.

Annotation Due to the project work, the number of participants is limited and participation requires knowledge about models, concepts and approaches that are taught in the Service Innovation lecture. Having taken the Service Innovation lecture or demonstrating equivalent knowledge is a prerequisite for participating in this Practical Seminar. Details for registration will be announced on the web pages for this course. The seminar is not offered regularly.

Industrial Engineering and Management M.Sc. 594 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Training in Basics of Microsystem Technology [T-MACH-102164]

T 7.317 Course: Practical Training in Basics of Microsystem Technology [T- MACH-102164]

Responsible: Dr. Arndt Last Organisation: KIT Department of Mechanical Engineering

Part of: M-ETIT-101158 - Sensor Technology I M-MACH-101287 - Microsystem Technology M-MACH-101290 - BioMEMS M-MACH-101291 - Microfabrication M-MACH-101292 - Microoptics M-MACH-101294 - Nanotechnology

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2143875 Introduction to Microsystem 2 SWS Practical course / 🖥 Last Technology - Practical Course

ST 2021 2143877 Introduction to Microsystem 2 SWS Practical course / 🖥 Last Technology - Practical Course

WT 21/22 2143875 Introduction to Microsystem 2 SWS Practical course / 🗣 Last Technology - Practical Course

WT 21/22 2143877 Introduction to Microsystem 2 SWS Practical course / 🗣 Last Technology - Practical Course Exams ST 2021 76-T-MACH-102164 Practical Training in Basics of Microsystem Technology Last WT 21/22 76-T-MACH-102164 Practical Training in Basics of Microsystem Technology Last

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam

Prerequisites none

Below you will find excerpts from events related to this course:

Introduction to Microsystem Technology - Practical Course V Practical course (P) 2143875, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content In the practical training includes nine experiments: 1. Hot embossing of plastics micro structures 2. Micro electroforming 3. Mikro optics: "LIGA-micro spectrometer" 4. UV-lithography 5. Optical waveguides 6. Capillary electrophoresis on a chip 7. SAW gas sensor 8. Metrology 9. Atomic force microscopy Each student takes part in only five experiments. The experiments are carried out at real workstations at the IMT and coached by IMT-staff.

Organizational issues Das Praktikum findet in den Laboren des IMT am CN statt. Treffpunkt: Bau 307, Raum 322. Teilnahmeanfragen an Frau Nowotny, [email protected]

Industrial Engineering and Management M.Sc. 595 Module Handbook as of 30/09/2021 7 COURSES Course: Practical Training in Basics of Microsystem Technology [T-MACH-102164]

Literature Menz, W., Mohr, J.: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 1997 Unterlagen zum Praktikum zur Vorlesung ' Grundlagen der Mikrosystemtechnik'

Introduction to Microsystem Technology - Practical Course V Practical course (P) 2143877, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content In the practical training includes nine experiments: 1. Hot embossing of plastics micro structures 2. Micro electroforming 3. Mikro optics: "LIGA-micro spectrometer" 4. UV-lithography 5. Optical waveguides 6. Capillary electrophoresis on a chip 7. SAW gas sensor 8. Metrology 9. Atomic force microscopy Each student takes part in only five experiments. The experiments are carried out at real workstations at the IMT and coached by IMT-staff.

Organizational issues Das Praktikum findet in den Laboren des IMT am CN statt. Treffpunkt: Bau 307, Raum 322. Teilnahmeanfragen an Frau Nowotny, [email protected]

Literature Menz, W., Mohr, J.: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 1997 Unterlagen zum Praktikum zur Vorlesung ' Grundlagen der Mikrosystemtechnik'

Introduction to Microsystem Technology - Practical Course V Practical course (P) 2143875, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Literature Menz, W., Mohr, J.: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 1997 Unterlagen zum Praktikum zur Vorlesung ' Grundlagen der Mikrosystemtechnik'

Introduction to Microsystem Technology - Practical Course V Practical course (P) 2143877, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Literature Menz, W., Mohr, J.: Mikrosystemtechnik für Ingenieure, VCH-Verlag, Weinheim, 1997 Unterlagen zum Praktikum zur Vorlesung ' Grundlagen der Mikrosystemtechnik'

Industrial Engineering and Management M.Sc. 596 Module Handbook as of 30/09/2021 7 COURSES Course: Predictive Mechanism and Market Design [T-WIWI-102862]

T 7.318 Course: Predictive Mechanism and Market Design [T-WIWI-102862]

Responsible: Prof. Dr. Johannes Philipp Reiß Organisation: KIT Department of Economics and Management Part of: M-WIWI-101453 - Applied Strategic Decisions M-WIWI-101505 - Experimental Economics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2), 1 of the examination regulation).

Prerequisites None

Annotation The course is given every second fall term, e.g., WS2017/18, WS2019/20, ... The retake exam is given in the summer term subsequent to the fall term where the course (lecture and final exam) is given.

Industrial Engineering and Management M.Sc. 597 Module Handbook as of 30/09/2021 7 COURSES Course: Predictive Modeling [T-WIWI-110868]

T 7.319 Course: Predictive Modeling [T-WIWI-110868]

Responsible: Jun.-Prof. Dr. Fabian Krüger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 1

Events

ST 2021 2521311 Predictive Modeling 2 SWS Lecture / 🖥 Krüger ST 2021 2521312 Predictive Modeling (Tutorial) 2 SWS Practice / 🖥 Krüger, Koster Exams ST 2021 7900298 Predictive Modeling Krüger ST 2021 7900299 Predictive Modeling Krüger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Open Book exam, online

Prerequisites None

Below you will find excerpts from events related to this course:

Predictive Modeling V Lecture (V) 2521311, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Contents This course presents methods for making and evaluating statistical predictions based on data. We consider various types of predictions (mean, probability, quantile, and full distribution), all of which are practically relevant. In each case, we discuss selected modeling approaches and their implementation using R software. We consider various economic case studies. Furthermore, we present methods for absolute evaluation (assessing whether a given model is compatible with the data) and relative evaluation (comparing the predictive performance of alternative models). Learning objectives Students have a good conceptual understanding of statistical prediction methods. They are able to implement these methods using statistical software, and can assess which method is suitable in a given situation. Prerequisites Students should know econometrics on the level of the course `Applied Econometrics' [2520020]

Literature

• Elliott, G., und A. Timmermann (Hrsg.): "Handbook of Economic Forecasting", vol. 2A und 2B, 2013. • Gneiting, T., und M. Katzfuss: "Probabilistic Forecasting", Annual Review of Statistics and Its Application 1, 125-151, 2014. • Hastie, T., Tibshirani, R., and J. Friedman: "The Elements of Statistical Learning", 2. Ausgabe, Springer, 2009. • Weitere Literatur wird in der Vorlesung bekanntgegeben.

Predictive Modeling (Tutorial) V Practice (Ü) 2521312, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 598 Module Handbook as of 30/09/2021 7 COURSES Course: Price Management [T-WIWI-105946]

T 7.320 Course: Price Management [T-WIWI-105946]

Responsible: Prof. Dr. Andreas Geyer-Schulz Dr Paul Glenn Organisation: KIT Department of Economics and Management Part of: M-WIWI-101409 - Electronic Markets

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540529 Price Management 2 SWS Lecture / 🖥 Glenn ST 2021 2540530 Exercise Price Management 1 SWS Practice / 🖥 Glenn Exams ST 2021 7900139 Price Management Geyer-Schulz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Lecture and exam will not be offered in summer semester 2019. The next examination is in the summer semester 2020. Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.

Prerequisites None

Recommendation None

Annotation The lecture is offered for the first time in summer term 2016.

Below you will find excerpts from events related to this course:

Price Management V Lecture (V) 2540529, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature

• H. Simon and M. Fassnacht, Preismanagement, vol. 4. Wiesbaden: Springer Gabler, 2016. • T. T. Nagle, J. E. Hogan, und J. Zalee, The Strategy and Tactics of Pricing: A guide to growing more profitably. New Jersey: Prentice Hall, 2010.

Industrial Engineering and Management M.Sc. 599 Module Handbook as of 30/09/2021 7 COURSES Course: Price Negotiation and Sales Presentations [T-WIWI-102891]

T 7.321 Course: Price Negotiation and Sales Presentations [T-WIWI-102891]

Responsible: Prof. Dr. Martin Klarmann Mark Schröder Organisation: KIT Department of Economics and Management Part of: M-WIWI-105312 - Marketing and Sales Management

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each winter term 3

Events

WT 21/22 2572198 Price Negotiation and Sales 1 SWS Block / 🗣 Klarmann, Schröder Presentations

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate This alternative exam assessment consists of a presentation with a subsequent discussion totalling 25 minutes. Moreover learning contents are checked by realistic 30-minute price negotiations.

Prerequisites None

Recommendation None

Annotation Participation requires an application. The application period starts at the beginning of the semester. More information can be obtained on the website of the research group Marketing & Sales (marketing.iism.kit.edu). Access to this course is restricted. Typically all students will be granted the attendance of one course with 1.5 ECTS. Nevertheless, participation for a specific course can not be guaranteed. For further information please contact the Marketing and Sales Research Group (marketing.iism.kit.edu). Please note that only one of the courses from the election block can be attended in the module.

Below you will find excerpts from events related to this course:

Price Negotiation and Sales Presentations V Block (B) 2572198, WS 21/22, 1 SWS, Language: German, Open in study portal On-Site

Content At first, theoretical knowledge about the behavior in selling contexts is discussed. Then, in a practical part, students will apply this knowledge in their own price negotiations. Students

• gain a clear impression of the theoretical knowledge about price negotiations and sales presentations • improve their own negotiation abilities

Non exam assessment (following §4(2), 3 of the examination regulation). The total workload for this course is approximately 45.0 hours. For further information see German version.

• In order to participate in this course, you need to apply. Applications usually start with the lecture period in the winter term. Detailed information on the application process is provided on the website of the Marketing and Sales Research Group (marketing.iism.kit.edu) shortly before the lecture period in winter term starts. • Please note that only one of the 1.5 ECTS courses can be chosen in the module. • Please note: The number of participants for this course is limited. The Marketing and Sales Research Group typically provides the possibility to attend a course with 1,5 ECTS in the respective module to all students. Participation in a specific course cannot be guaranteed.

Organizational issues Blockveranstaltung

Industrial Engineering and Management M.Sc. 600 Module Handbook as of 30/09/2021 7 COURSES Course: Pricing Excellence [T-WIWI-111246]

T 7.322 Course: Pricing Excellence [T-WIWI-111246]

Responsible: Fabian Bill Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-105312 - Marketing and Sales Management

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each summer term 1

Events

ST 2021 2571175 Pricing Excellence 1 SWS Others (sons / 🖥 Bill Exams ST 2021 7900300 Pricing Excellence Klarmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (team presentation of a case study with a duration of about 25 minutes and a subsequent discussion).

Prerequisites None.

Annotation Please note that only one of the courses in the module´s supplementary offering can be counted. This event has a restriction on participation. The Marketing and Sales Research Group typically allows all students to attend a 1.5 credit course in the corresponding module. A guarantee for the attendance of a certain event cannot be given. An application is required for participation in this event. The application phase usually takes place at the beginning of the lecture period in the summer semester. More information on the application process is usually available on the Marketing and Sales Research Group website (marketing.iism.kit.edu) shortly before the start of the lecture period in the summer semester.

Below you will find excerpts from events related to this course:

Pricing Excellence V Others (sonst.) 2571175, SS 2021, 1 SWS, Language: English, Open in study portal Online

Content In a theoretical part at the beginning of the course, students are taught the theoretical foundations of pricing. This includes an introduction to (1) price setting of product prices as well as (2) price setting of customer net prices (development of discount systems). Furthermore, theoretical foundations of price implementation and price monitoring are discussed. Theoretical contents are applied and presented by teams within a case study format. The learning objectives are as follows: - Getting to know the theoretical foundations of price setting - Getting to know the theoretical foundations of price execution and price monitoring - Application of the acquired knowledge in a case study format - Concise and structured presentation of the results Alternative exam assessment according to § 4 paragraph 2 Nr. 3 of the examination regulation (presentation of a case study with subsequent discussion). Total time required for 1.5 credit points: approx. 45.0 hours Attendance time: 15 hours Preparation and wrap-up of the course: 22.5 hours Exam and exam preparation: 7.5 hours

Organizational issues Blockveranstaltung, Raum 115, Geb. 20.21, Termine werden noch bekannt gegeben

Industrial Engineering and Management M.Sc. 601 Module Handbook as of 30/09/2021 7 COURSES Course: Principles of Ceramic and Powder Metallurgy Processing [T-MACH-102111]

T 7.323 Course: Principles of Ceramic and Powder Metallurgy Processing [T- MACH-102111]

Responsible: Dr. Günter Schell Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2193010 Basic principles of powder 2 SWS Lecture / 🧩 Schell metallurgical and ceramic processing Exams ST 2021 76-T-MACH-102111 Principles of Ceramic and Powder Metallurgy Processing Schell WT 21/22 76-T-MACH-102111 Principles of Ceramic and Powder Metallurgy Processing Schell

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20-30 min) taking place at the agreed date. The re-examination is offered upon agreement.

Prerequisites none

Below you will find excerpts from events related to this course:

Basic principles of powder metallurgical and ceramic processing V Lecture (V) 2193010, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature

• R.J. Brook: Processing of Ceramics I+II, VCH Weinheim, 1996 • M.N. Rahaman: Cermamic Processing and Sintering, 2nd Ed., Marcel Dekker, 2003 • W. Schatt ; K.-P. Wieters ; B. Kieback. ".Pulvermetallurgie: Technologien und Werkstoffe", Springer, 2007 • R.M. German. "Powder metallurgy and particulate materials processing. Metal Powder Industries Federation, 2005 • F. Thümmler, R. Oberacker. "Introduction to Powder Metallurgy", Institute of Materials, 1993

Industrial Engineering and Management M.Sc. 602 Module Handbook as of 30/09/2021 7 COURSES Course: Probabilistic Time Series Forecasting Challenge [T-WIWI-111387]

T 7.324 Course: Probabilistic Time Series Forecasting Challenge [T-WIWI-111387]

Responsible: Jun.-Prof. Dr. Fabian Krüger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Irregular 1

Events WT 21/22 00080 Probabilistic Time Series Project (P Bracher, Koster, Forecasting Challenge Krüger, Lerch, Wolffram

Competence Certificate The assessment of this course is an alternative exam assessment. In order to pass the course, students are required to submit forecasts for each week of the semester (excluding the Christmas break). At the end of the course, students are required to write a report (10-15 pages) that describes the forecasting methods as well as their performance. This report is the basis for the final course grade.

Prerequisites The course requires good basic knowledge in statistics and data science as well as knowledge in R, Python, Matlab or similar. Knowledge in time series analysis is helpful but not mandatory.

Below you will find excerpts from events related to this course:

Probabilistic Time Series Forecasting Challenge V Project (PRO) 00080, WS 21/22, SWS, Language: English, Open in study portal

Content Statistical forecasts are relevant across all fields of society. In this data science project, students make, evaluate and communicate their own statistical forecasts in a real-time setting. We consider probabilistic forecasts that involve a measure of uncertainty in addition to a point forecast. Students are asked to make forecasts of several real-world time series (including energy demand and the DAX stock market index). Historical data on all series are available from public sources that are updated as time proceeds. While the time series differ from each other in important ways, statistical methods can meaningfully be used for prediction in all cases. We focus on quantile forecasts which are useful to measure forecast uncertainty in a relatively simple way.

Organizational issues Short description In this data science project, students make and evaluate statistical forecasts in a realistic setup (involving real-time predictions and real-world time series data). In mid October, we'll have a kick-off meeting and several lectures covering relevant background knowledge. During the semester, there will be a weekly meeting in which students and instructors discuss the current state of the forecasting challenge. Details on the logistics (precise dates, online versus offline format) are TBA.

Prerequisites

Students should have a good working knowledge of statistics and data science, including proficiency in a programming language like R, Python, or Matlab. Knowledge of time series analysis is helpful but not strictly required. Motivation and curiosity are particularly important in this new course format that requires regular, active participation over the whole semester.

Examination rules The project seminar counts for 4.5 credit points (Leistungspunkte). The examination rules are as follows:

• In order to pass the course, students are required to submit forecasts for each week of the semester (excluding the Christmas break). Each week's submission is due on Wednesday, 6 p.m., and covers the seven following days (Thursday to Wednesday). • At the end of the course, students are required to write a report (10-15 pages) that describes the forecasting methods as well as their performance. This report is the basis for the final course grade.

Industrial Engineering and Management M.Sc. 603 Module Handbook as of 30/09/2021 7 COURSES Course: Process Engineering [T-BGU-101844]

T 7.325 Course: Process Engineering [T-BGU-101844]

Responsible: Dr.-Ing. Harald Schneider Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 6241703 Verfahrenstechnik 2 SWS Lecture / 🧩 Schneider Exams ST 2021 8240101844 Process Engineering Schneider

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 604 Module Handbook as of 30/09/2021 7 COURSES Course: Process Engineering: Example Food Processing [T-CIWVT-111536]

T 7.326 Course: Process Engineering: Example Food Processing [T-CIWVT-111536]

Responsible: Dr. Volker Gaukel Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101120 - Principles of Food Process Engineering

Type Credits Grading scale Version Oral examination 6 Grade to a third 1

Events

ST 2021 22214 Vertiefung verfahrenstechnischer 2 SWS Lecture / 🖥 Gaukel Grundlagen am Beispiel Lebensmittel WT 21/22 22213 Verfahrenstechnische Grundlagen 2 SWS Lecture Gaukel am Beispiel der Lebensmittelverarbeitung (für LmCh, WiWi)

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 605 Module Handbook as of 30/09/2021 7 COURSES Course: Process Mining [T-WIWI-109799]

T 7.327 Course: Process Mining [T-WIWI-109799]

Responsible: Prof. Dr. Andreas Oberweis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2511204 Process Mining 2 SWS Lecture / 🖥 Oberweis ST 2021 2511205 Exercise Process Mining 1 SWS Practice / 🖥 Oberweis, Schreiber Exams ST 2021 7900048 Process Mining (Registration until 12 July 2021) Oberweis WT 21/22 7900033 Process Mining Oberweis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation in the first week after lecture period.

Prerequisites None

Annotation Former name (up to winter semester 2018/1019) "Workflow Management".

Below you will find excerpts from events related to this course:

Process Mining V Lecture (V) 2511204, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 606 Module Handbook as of 30/09/2021 7 COURSES Course: Process Mining [T-WIWI-109799]

Content The area of process mining covers approaches which aim at deducting new knowledge on the basis of logfiles generated by information systems. Such information systems are e.g., workflow-management-systems which are used for an efficient control of processes in enterprises and organisations. The lecture introduces the foundations of processes and respective modeling and analysis techniques. In the following, the foundations of process mining and the three classical types of approaches - discovery, conformance and enhancement - will be taught. In addition to the theoretical basics, tools, application scenarios in practice and open research questions are covered as well. Learning objectives: Students

• understand the concepts and approaches of process mining and know how they are applied, • create and evaluate business process models, • analyze static and dynamic properties of workflows, • apply approaches and tools of process mining.

Recommendations: Knowledge of course Applied Informatics - Modelling is expected. Workload:

• Lecture 30h • Exercise 15h • Preparation of lecture 24h • Preparation of exercises 25h • Exam preparation 40h • Exam 1h

Literature

• W. van der Aalst, H. van Kees: Workflow Management: Models, Methods and Systems, Cambridge, The MIT Press, 2002. • W. van der Aalst: Process Mining: Data Science in Action. Springer, 2016. • J. Carmona, B. van Dongen, A. Solti, M. Weidlich: Conformance Checking: Relating Processes and Models. Springer, 2018. • A. Drescher, A. Koschmider, A. Oberweis: Modellierung und Analyse von Geschäftsprozessen: Grundlagen und Übungsaufgaben mit Lösungen. De Gruyter Studium, 2017. • A. Oberweis: Modellierung und Ausführung von Workflows mit Petri-Netzen. Teubner-Reihe Wirtschaftsinformatik, B.G. Teubner Verlag, 1996. • R. Peters, M. Nauroth: Process-Mining: Geschäftsprozesse: smart, schnell und einfach, Springer, 2019. • F. Schönthaler, G.Vossen, A. Oberweis, T. Karle: Business Processes for Business Communities: Modeling Languages, Methods, Tools. Springer, 2012. • M. Weske: Business Process Management: Concepts, Languages, Architectures. Springer, 2012.

Weitere Literatur wird in der Vorlesung bekannt gegeben.

Industrial Engineering and Management M.Sc. 607 Module Handbook as of 30/09/2021 7 COURSES Course: Product and Innovation Management [T-WIWI-109864]

T 7.328 Course: Product and Innovation Management [T-WIWI-109864]

Responsible: Prof. Dr. Martin Klarmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101510 - Cross-Functional Management Accounting M-WIWI-101514 - Innovation Economics M-WIWI-105312 - Marketing and Sales Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 3

Events

ST 2021 2571154 Product and Innovation 2 SWS Lecture / 🖥 Klarmann Management Exams ST 2021 7900024 Product and Innovation Management Klarmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of success takes place through a written exam (according to SPO § 4 Abs. 2, Pkt. 1) with additional aids in the sense of an open book exam. In the winter term 2021/22, the written exam will either take place in the lecture hall or online, depending on further pandemic developments. Further details will be announced during the lecture.

Prerequisites None

Annotation For further information please contact Marketing & Sales Research Group (marketing.iism.kit.edu).

Below you will find excerpts from events related to this course:

Product and Innovation Management V Lecture (V) 2571154, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 608 Module Handbook as of 30/09/2021 7 COURSES Course: Product and Innovation Management [T-WIWI-109864]

Content This course addresses topics around the management of new as well as existing products. After the foundations of product management, especially the product choice behavior of customers, students get to know in detail different steps of the innovation process. Another section regards the management of the existing product portfolio. Students - know the most important terms of the product and innovation concept - understand the models of product choice behavior (e.g., the Markov model, the Luce model) - are familiar with the basics of network theory (e.g. the Triadic Closure concept) - know the central strategic concepts of innovation management (especially the market driving approach, pioneer and successor, Miles/Snow typology, blockbuster strategy) - master the most important methods and sources of idea generation (e.g. open innovation, lead user method, crowdsourcing, creativity techniques, voice of the customer, innovation games, conjoint analysis, quality function deployment, online toolkits) - are capable of defining and evaluating new product concepts and know the associated instruments like focus groups, product testing, speculative sales, test market simulation Assessor, electronic micro test market - have advanced knowledge about market introduction (e.g. adoption and diffusion models Bass, Fourt/Woodlock, Mansfield) - understand important connections of the innovation process (cluster formation, innovation culture, teams, stage-gate process) The assessment is carried out (according to §4(2), 3 SPO) in the form of a written open book exam. Total effort for 3 credit points: approx. 90 hours Presence time: 30 hours Preparation and wrap-up of LV: 45.0 hours Exam and exam preparation: 15.0 hours For further information please contact Marketing & Sales Research Group (marketing.iism.kit.edu).

Literature Homburg, Christian (2016), Marketingmanagement, 6. Aufl., Wiesbaden.

Industrial Engineering and Management M.Sc. 609 Module Handbook as of 30/09/2021 7 COURSES Course: Product- and Production-Concepts for Modern Automobiles [T-MACH-110318]

T 7.329 Course: Product- and Production-Concepts for Modern Automobiles [T- MACH-110318]

Responsible: Dr. Stefan Kienzle Dr. Dieter Steegmüller Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2149670 Product- and Production-Concepts 2 SWS Lecture / 🧩 Steegmüller, Kienzle for modern Automobiles

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Exam (20 min)

Prerequisites T-MACH-105166 - Materials and Processes for Body Leightweight Construction in the Automotive Industry must not have been started.

Below you will find excerpts from events related to this course:

Product- and Production-Concepts for modern Automobiles V Lecture (V) 2149670, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 610 Module Handbook as of 30/09/2021 7 COURSES Course: Product- and Production-Concepts for Modern Automobiles [T-MACH-110318]

Content The lecture illuminates the practical challenges of modern automotive engineering. As former leaders of the automotive industry, the lecturers refer to current aspects of automotive product development and production. The aim is to provide students with an overview of technological trends in the automotive industry. In this context, the course also focuses on changes in requirements due to new vehicle concepts, which may be caused by increased demands for individualisation, digitisation and sustainability. The challenges that arise in this context will be examined from both a production technology and product development perspective and will be illustrated with practical examples thanks to the many years of industrial experience of both lecturers. The topics covered are:

• General conditions for vehicle and body development • Integration of new drive technologies • Functional requirements (crash safety etc.), also for electric vehicles • Development Process at the Interface Product & Production, CAE/Simulation • Energy storage and supply infrastructure • Aluminium and lightweight steel construction • FRP and hybrid parts • Battery, fuel cell and electric motor production • Joining technology in modern car bodies • Modern factories and production processes, Industry 4.0.

Learning Outcomes: The students …

• are able to name the presented general conditions of vehicle development and are able to discuss their influences on the final product using practical examples. • are able to name the various lightweight approaches and identify possible areas of application. • are able to identify the different production processes for manufacturing lightweight structures and explain their functions. • are able to perform a process selection based on the methods and their characteristics.

Workload: regular attendance: 25 hours self-study: 95 hours

Organizational issues Termine werden über Ilias bekannt gegeben. Bei der Vorlesung handelt es sich um eine Blockveranstaltung. Eine Anmeldung über Ilias ist erforderlich. The lecture is a block course. An application in Ilias is mandatory.

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt. Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 611 Module Handbook as of 30/09/2021 7 COURSES Course: Production and Logistics Management [T-WIWI-102632]

T 7.330 Course: Production and Logistics Management [T-WIWI-102632]

Responsible: Dr.-Ing. Simon Glöser-Chahoud Prof. Dr. Frank Schultmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III

Type Credits Grading scale Recurrence Version Written examination 5,5 Grade to a third Each summer term 1

Events

ST 2021 2581954 Production and Logistics 2 SWS Lecture / 🖥 Schultmann, Glöser- Management Chahoud

ST 2021 2581955 Übung zu Produktions- und 2 SWS Practice / 🖥 Zimmer, Huster Logistikmanagement Exams ST 2021 7981954 Production and Logistics Management Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (90 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Production and Logistics Management V Lecture (V) 2581954, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content This course covers central tasks and challenges of operative production and logistics management. Students get to know the set-up and mode of planning systems such as production planning and control systems, enterprise resource planning systems and advanced planning systems to cope with the accompanying planning tasks in supply chain management. Methods to solve these tasks from the field of operational research will be explored with respect to manufacturing program planning, material requirement planning, lot size problems and scheduling. Alongside to MRP II (Manufacturing Resources Planning), students will be introduced to integrated supply chain management approaches. Finally, commercially available planning systems will be presented and discussed.

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 612 Module Handbook as of 30/09/2021 7 COURSES Course: Production Technology for E-Mobility [T-MACH-110984]

T 7.331 Course: Production Technology for E-Mobility [T-MACH-110984]

Responsible: Prof. Dr.-Ing. Jürgen Fleischer Dr.-Ing. Janna Ruhland Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 2

Events

ST 2021 2150605 Production Technology for E- 2 SWS Lecture / 🖥 Fleischer, Ruhland Mobility Exams ST 2021 76-T-MACH-110984 Production Technology for E-Mobility Fleischer, Ruhland

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (60 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Production Technology for E-Mobility V Lecture (V) 2150605, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content In the lecture Production Engineering for Electromobility the students should be enabled to design, select and develop production processes for the production of the components of an electric drive train (electric motor, battery cells, fuel cells) by using research- oriented teaching. Learning Outcomes: The students are able to:

• describe the structure and function of a fuel cell, an electric traction drive and a batterysystem. • reproduce the process chains for the production of the components fuel cell, battery and electric traction drive. • apply methodical tools to solve problems along the process chain. • derive the challenges in the production of electric drives for electric mobility. • describe the factors influencing the individual process steps on each other using the process chain of Li-ion battery cells. • enumerate or describe the necessary process parameters to counteract the influencing factors of the process steps in Li- ion battery cell production. • apply methodical tools to solve problems along the process chain for the production of Li-ion battery cells. • derive the challenge of mounting and dismounting battery modules. • derive the challenges in the production of fuel cells for use in mobility.

Workload: regular attendance: 42 hours self-study: 78 hours

Organizational issues Die Lehrveranstaltung wird erstmalig im Sommersemester 2021 angeboten.

Literature Skript zur Veranstaltung wird über Ilias (https://ilias.studium.kit.edu/) bereitgestellt. Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/)

Industrial Engineering and Management M.Sc. 613 Module Handbook as of 30/09/2021 7 COURSES Course: Project Development with Case Study [T-BGU-111217]

T 7.332 Course: Project Development with Case Study [T-BGU-111217]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-105597 - Facility Management in Hospitals

Type Credits Grading scale Recurrence Expansion Version Oral examination 1,5 Grade to a third Each term 1 terms 1

Events

WT 21/22 6200004 Projectdevelopment with Case 1 SWS Lecture / 🗣 Lennerts, Mitarbeiter/ Study innen WT 21/22 6242904 Projectdevelopment with Case 1 SWS Lecture Lennerts, Mitarbeiter/ Study innen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, appr. 20 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 614 Module Handbook as of 30/09/2021 Course: Project Internship Aditive Manufacturing: Development and 7 COURSES Production of an Additive Component [T-MACH-110960]

T 7.333 Course: Project Internship Aditive Manufacturing: Development and Production of an Additive Component [T-MACH-110960]

Responsible: Dr.-Ing. Frederik Zanger Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each winter term 1

Events WT 21/22 2149700 Project Internship Aditive 2 SWS Practical course / 🧩 Zanger, Lubkowitz Manufacturing: Development and Production of an Additive Component

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative test achievement (graded):

• Milestone based presentation of the results in presentation form (10 min) and submitting of the presentation file with weighting 30% • Oral exam (15 min) with weighting 40% • Project work with weighting 30%

Prerequisites none

Below you will find excerpts from events related to this course:

Project Internship Aditive Manufacturing: Development and Production of Practical course (P) V an Additive Component Blended (On-Site/Online) 2149700, WS 21/22, 2 SWS, Language: German, Open in study portal

Industrial Engineering and Management M.Sc. 615 Module Handbook as of 30/09/2021 Course: Project Internship Aditive Manufacturing: Development and 7 COURSES Production of an Additive Component [T-MACH-110960]

Content The lecture "Project Internship Additive Manufacturing: Development and Production of an Additive Component" combines the basics of metallic laser powder bed fusion (LPBF) with a development project in cooperation with an industrial company. The students learn the basics of the following topics in the project-related lecture:

• Influence of different process variables on the component quality of parts produced in the LPBF process • Preparation and simulation of the LPBF process • Production of additive metallic components • Process monitoring and quality assurance in additive manufacturing • Topology optimization • CAM for subtractive rewor

The topics addressed in the course will be applied practically in various workshops on the individual topics and transferred to the developmental task in self-study. Finally, the results of the elaborations are produced additively and post-processed subtractively. Learning Outcomes: The students …

• are able to describe the properties and applications of the additive manufacturing processes laser powder bed fusion (LPBF) and lithography assisted ceramic manufacturing (LCM). • are able to select the appropriate manufacturing process for a technical application. • are able to describe and implement the creation of a product along the entire additive process chain (CAD, simulation, work preparation, CAM) from the idea to the production. • are able to discuss the development process for components that are optimized for additive manufacturing. • are able to perform topology optimization. • are able to simulate the additive process, compensate for process-related distortions and determine the ideal alignment on the building platform. • are able to create necessary support structures for the additive process and to derive a building order file. • are able to create a CAM model for the subtractive rework process of additive parts.

Workload: regular attendance: 12 hours self-study: 108 hours

Organizational issues Termine werden über Ilias bekannt gegeben. Bei der Vorlesung handelt es sich um eine Blockveranstaltung. Eine Anmeldung über Ilias ist erforderlich. Dates will be announced via Ilias. The lecture is a block event. A registration via Ilias is required.

Literature Skript zur Veranstaltung wird über Ilias (https://ilias.studium.kit.edu/) bereitgestellt Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/)

Industrial Engineering and Management M.Sc. 616 Module Handbook as of 30/09/2021 7 COURSES Course: Project Lab Cognitive Automobiles and Robots [T-WIWI-109985]

T 7.334 Course: Project Lab Cognitive Automobiles and Robots [T-WIWI-109985]

Responsible: Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 2

Events

ST 2021 2513500 Cognitive Automobiles and Robots 2 SWS Seminar / 🖥 Zöllner WT 21/22 2512501 Practical Course Cognitive 3 SWS Practical course Zöllner, Daaboul automobiles and robots (Master) Exams WT 21/22 7900107 Advanced Lab Cognitive Automobile and Robots (Master) Zöllner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and • a written seminar thesis

Details of the grade formation will be announced at the beginning of the course.

Prerequisites None

Below you will find excerpts from events related to this course:

Cognitive Automobiles and Robots V Seminar (S) 2513500, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Content The seminar is intended as a theoretical supplement to lectures such as "Machine Learning". The theoretical basics will be deepened in the seminar. The aim of the seminar is that the participants work individually to analyze a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and theoretical evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles for theoretical analysis. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning Workload: The workload of 3 credit points consists of the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Industrial Engineering and Management M.Sc. 617 Module Handbook as of 30/09/2021 7 COURSES Course: Project Lab Cognitive Automobiles and Robots [T-WIWI-109985]

Practical Course Cognitive automobiles and robots (Master) V Practical course (P) 2512501, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content The lab is intended as a practical supplement to lectures such as "Machine Learning". The theoretical basics are applied in the lab course. The aim of the lab course is that the participants work together to design, develop and evaluate a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. In addition to the scientific objectives involved in the investigation and application of the methods, aspects of project-specific teamwork in research (from specification to presentation of the results) are also developed in this practical course. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and implementation and evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can practically apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles. • Students master the analysis and solution of corresponding problems in a team. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning, C/C++ knowledge, Python knowledge Workload: The workload of 4.5 credit points consists of the time spent in the lab for practical implementation of the selected solution, as well as the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Industrial Engineering and Management M.Sc. 618 Module Handbook as of 30/09/2021 7 COURSES Course: Project Lab Machine Learning [T-WIWI-109983]

T 7.335 Course: Project Lab Machine Learning [T-WIWI-109983]

Responsible: Prof. Dr.-Ing. Johann Marius Zöllner Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events ST 2021 2512500 Project Lab Machine Learning 3 SWS Practical course / 🧩 Zöllner Exams ST 2021 7900086 Project Lab Machine Learning Zöllner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of:

• a practical work • a presentation and • a written seminar thesis

Details of the grade formation will be announced at the beginning of the course.

Prerequisites None

Below you will find excerpts from events related to this course:

Project Lab Machine Learning V Practical course (P) 2512500, SS 2021, 3 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content The lab is intended as a practical supplement to lectures such as "Machine Learning". The theoretical basics are applied in the lab course. The aim of the lab course is that the participants work together to design, develop and evaluate a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. In addition to the scientific objectives involved in the investigation and application of the methods, aspects of project-specific teamwork in research (from specification to presentation of the results) are also developed in this practical course. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and implementation and evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can practically apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles. • Students master the analysis and solution of corresponding problems in a team. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning, C/C++ knowledge, Python knowledge Workload: The workload of 4.5 credit points consists of the time spent in the lab for practical implementation of the selected solution, as well as the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Industrial Engineering and Management M.Sc. 619 Module Handbook as of 30/09/2021 7 COURSES Course: Project Lab Machine Learning [T-WIWI-109983]

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Industrial Engineering and Management M.Sc. 620 Module Handbook as of 30/09/2021 7 COURSES Course: Project Management [T-WIWI-103134]

T 7.336 Course: Project Management [T-WIWI-103134]

Responsible: Prof. Dr. Frank Schultmann Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each winter term 1

Events

WT 21/22 2581963 Project Management 2 SWS Lecture / 🖥 Schultmann, Volk, Rosenberg, Gehring

WT 21/22 2581964 Übung zu Project Management 1 SWS Practice / 🖥 Volk, Rosenberg, Wehrle, Gehring Exams ST 2021 7981963 Project Management Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (examination of another type, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Project Management V Lecture (V) 2581963, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content

1. Introduction 2. Principles of Project Management 3. Project Scope Management 4. Time Management and Resource Scheduling 5. Cost Management 6. Quality Management 7. Risk Management 8. Stakeholder 9. Communication, Negotiation and Leadership 10. Project Controlling 11. Agile Project Management

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 621 Module Handbook as of 30/09/2021 7 COURSES Course: Project Management in Construction and Real Estate Industry I [T-BGU-103432]

T 7.337 Course: Project Management in Construction and Real Estate Industry I [T- BGU-103432]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction M-BGU-101888 - Project Management in Construction

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 6241701 Projektmanagement in der Bau- 4 SWS Lecture / Practice ( Haghsheno, und Immobilienwirtschaft Hirschberger, Sittinger, Münzl Exams ST 2021 8240103432 Project Management in Construction and Real Estate Industry I Haghsheno

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 622 Module Handbook as of 30/09/2021 7 COURSES Course: Project Management in Construction and Real Estate Industry II [T-BGU-103433]

T 7.338 Course: Project Management in Construction and Real Estate Industry II [T- BGU-103433]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction M-BGU-101888 - Project Management in Construction

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 6241701 Projektmanagement in der Bau- 4 SWS Lecture / Practice ( Haghsheno, und Immobilienwirtschaft Hirschberger, Sittinger, Münzl Exams ST 2021 8240103433 Project Management in Construction and Real Estate Industry II Haghsheno

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 623 Module Handbook as of 30/09/2021 7 COURSES Course: Project Paper Lean Construction [T-BGU-101007]

T 7.339 Course: Project Paper Lean Construction [T-BGU-101007]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction

Type Credits Grading scale Recurrence Version Examination of another type 1,5 Grade to a third Each winter term 1

Events WT 21/22 6241901 Lean Construction 4 SWS Lecture / Practice ( Haghsheno, Mitarbeiter/innen

Competence Certificate project: report, appr. 10 pages, and presentation, appr. 10 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 624 Module Handbook as of 30/09/2021 7 COURSES Course: Project Studies [T-BGU-101847]

T 7.340 Course: Project Studies [T-BGU-101847]

Responsible: Prof. Dr.-Ing. Sascha Gentes Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events ST 2021 6243801 Projektstudien 2 SWS Lecture / Practice ( / Haupenthal, Gentes 🖥 Exams ST 2021 8240101847 Project Studies Gentes WT 21/22 8240101847 Project Studies Gentes

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 625 Module Handbook as of 30/09/2021 7 COURSES Course: Project Workshop: Automotive Engineering [T-MACH-102156]

T 7.341 Course: Project Workshop: Automotive Engineering [T-MACH-102156]

Responsible: Dr.-Ing. Michael Frey Prof. Dr. Frank Gauterin Dr.-Ing. Martin Gießler Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101264 - Handling Characteristics of Motor Vehicles M-MACH-101265 - Vehicle Development M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Oral examination 4,5 Grade to a third Each term 1

Events

ST 2021 2115817 Project Workshop: Automotive 3 SWS Lecture / 🖥 Gauterin, Gießler, Frey Engineering

WT 21/22 2115817 Project Workshop: Automotive 3 SWS Lecture / 🗣 Gauterin, Gießler, Frey Engineering Exams ST 2021 76-T-MACH-102156 Project Workshop: Automotive Engineering Gauterin

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination Duration: 30 up to 40 minutes Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Project Workshop: Automotive Engineering V Lecture (V) 2115817, SS 2021, 3 SWS, Language: German, Open in study portal Online

Content During the Project Workshop Automotive Engineering a team of six persons will work on a task given by an German industrial partner using the instruments of project management. The task is relevant for the actual business and the results are intended to be industrialized after the completion of the project workshop.

The team will generate approaches in its own responsibility and will develop solutions for practical application. Coaching will be supplied by both, company and institute.

At the beginning in a start-up meeting goals and structure of the project will be specified. During the project workshop there will be weekly team meetings. Also a milestone meeting will be held together with persons from the industrial company. In a final presentation the project results will be presented to the company management and to institute representatives. Learning Objectives: The students are familiar with typical industrial development processes and working style. They are able to apply knowledge gained at the university to a practical task. They are able to analyze and to judge complex relations. They are ready to work self- dependently, to apply different development methods and to work on approaches to solve a problem, to develop practice-oriented products or processes.

Organizational issues Begrenzte Teilnehmerzahl mit Auswahlverfahren, die Bewerbungen sind am Ende des vorhergehenden Semesters einzureichen. Raum und Termine: s. Aushang

Industrial Engineering and Management M.Sc. 626 Module Handbook as of 30/09/2021 7 COURSES Course: Project Workshop: Automotive Engineering [T-MACH-102156]

Literature Steinle, Claus; Bruch, Heike; Lawa, Dieter (Hrsg.), Projektmanagement, Instrument moderner Innovation, FAZ Verlag, Frankfurt a. M., 2001, ISBN 978-3929368277

Skripte werden beim Start-up Meeting ausgegeben.

Project Workshop: Automotive Engineering V Lecture (V) 2115817, WS 21/22, 3 SWS, Language: German, Open in study portal On-Site

Content During the Project Workshop Automotive Engineering a team of six persons will work on a task given by an German industrial partner using the instruments of project management. The task is relevant for the actual business and the results are intended to be industrialized after the completion of the project workshop.

The team will generate approaches in its own responsibility and will develop solutions for practical application. Coaching will be supplied by both, company and institute.

At the beginning in a start-up meeting goals and structure of the project will be specified. During the project workshop there will be weekly team meetings. Also a milestone meeting will be held together with persons from the industrial company. In a final presentation the project results will be presented to the company management and to institute representatives. Learning Objectives: During the Project Workshop Automotive Engineering a team of six persons will work on a task given by an German industrial partner using the instruments of project management. The task is relevant for the actual business and the results are intended to be industrialized after the completion of the project workshop.

The team will generate approaches in its own responsibility and will develop solutions for practical application. Coaching will be supplied by both, company and institute.

At the beginning in a start-up meeting goals and structure of the project will be specified. During the project workshop there will be weekly team meetings. Also a milestone meeting will be held together with persons from the industrial company. In a final presentation the project results will be presented to the company management and to institute representatives.

Organizational issues Begrenzte Teilnehmerzahl mit Auswahlverfahren, in deutscher Sprache. Bewerbungen sind am Ende des vorhergehenden Semesters einzureichen. Termin und Raum: siehe Institutshomepage. Limited number of participants with selection procedure, in German language. Please send the application at the end of the previous semester Date and room: see homepage of institute.

Literature Steinle, Claus; Bruch, Heike; Lawa, Dieter (Hrsg.), Projektmanagement, Instrument moderner Innovation, FAZ Verlag, Frankfurt a. M., 2001, ISBN 978-3929368277

Skripte werden beim Start-up Meeting ausgegeben. The scripts will be supplied in the start-up meeting.

Industrial Engineering and Management M.Sc. 627 Module Handbook as of 30/09/2021 7 COURSES Course: Public Management [T-WIWI-102740]

T 7.342 Course: Public Management [T-WIWI-102740]

Responsible: Prof. Dr. Berthold Wigger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101504 - Collective Decision Making M-WIWI-101511 - Advanced Topics in Public Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2561127 Public Management 3 SWS Lecture / Practice ( / Wigger 🖥 Exams ST 2021 790puma Public Management Wigger WT 21/22 790puma Public Management Wigger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on the further pandemic development the assessment will consist either of an open book exam (following Art. 4, para. 2, clause 3 of the examination regulation), or of an 1.5h written exam (following Art. 4, para. 2, clause 1 of the examination regulation).

Prerequisites None

Recommendation Basic knowledge of Public Finance is required.

Below you will find excerpts from events related to this course:

Public Management V Lecture / Practice (VÜ) 2561127, WS 21/22, 3 SWS, Language: German, Open in study portal Online

Literature Weiterführende Literatur:

• Damkowski, W. und C. Precht (1995): Public Management; Kohlhammer • Richter, R. und E.G. Furubotn (2003): Neue Institutionenökonomik; 3. Auflage, Mohr • Schedler, K. und I. Proeller (2003): New Public Management; 2. Auflage; UTB • Mueller, D.C. (2009): Public Choice III; Cambridge University Press • Wigger, B.U. (2006): Grundzüge der Finanzwissenschaft; 2. Auflage; Springer

Industrial Engineering and Management M.Sc. 628 Module Handbook as of 30/09/2021 7 COURSES Course: Public Revenues [T-WIWI-102739]

T 7.343 Course: Public Revenues [T-WIWI-102739]

Responsible: Prof. Dr. Berthold Wigger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101511 - Advanced Topics in Public Finance

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2560120 Public Revenues 2 SWS Lecture / 🖥 Wigger ST 2021 2560121 Übung zu Öffentliche Einnahmen 1 SWS Practice / 🖥 Wigger Exams ST 2021 790oeff Public Revenues Wigger WT 21/22 790oeff Public Revenues Wigger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on the further pandemic development the assessment will consist either of an open book exam (following Art. 4, para. 2, clause 3 of the examination regulation), or of an 1h written exam (following Art. 4, para. 2, clause 1 of the examination regulation).

Prerequisites None

Recommendation Basic knowledge of Public Finance is required.

Below you will find excerpts from events related to this course:

Public Revenues V Lecture (V) 2560120, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The Public Revenues lecture is concerned with the theory and policy of taxation and public dept. In the first chapter, fundamental concepts of taxation theory are introduced, whereas the second chapter deals with key elements of the German taxation system. The allocative and distributive effects of different taxation types are examined in chapter three and four. Chapter five integrates both allocative and distributive components in order to derive a theory of optimal taxation. The core of the sixth chapter is represented by international aspects of taxation. The debt part begins with a description of the extent and structure of public dept in chapter seven. In the following chapter, macroeconomic theories of national dept are evolved, while chapter nine is concerned with its long term consequences when employed as a regular instrument of budgeting. Finally, the tenth chapter deals with constitutional limits to public debt-incurring. Learning goals: See German version. Workload: The total workload for this course is approximately 135.0 hours. For further information see German version.

Literature Literatur:

• Homburg, S.(2000): Allgemeine Steuerlehre, Vahlen • Rosen, H.S.(1995): Public Finance; 4. Aufl., Irwin • Wellisch, D.(2000): Finanzwissenschaft I und Finanzwissenschaft III, Vahlen • Wigger, B. U.(2006): Grundzüge der Finanzwissenschaft; 2. Aufl., Springer

Industrial Engineering and Management M.Sc. 629 Module Handbook as of 30/09/2021 7 COURSES Course: Python Algorithm for Vehicle Technology [T-MACH-110796]

T 7.344 Course: Python Algorithm for Vehicle Technology [T-MACH-110796]

Responsible: Stephan Rhode Organisation: Part of: M-MACH-101265 - Vehicle Development M-MACH-101266 - Automotive Engineering

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 1

Events

ST 2021 2114862 Python Algorithms for 2 SWS Lecture / 🖥 Rhode Automotive Engineering Exams ST 2021 76-T-MACH-110796 Python Algorithm for Vehicle Technology Rhode WT 21/22 76-T-Mach-110796 Python Algorithm for Vehicle Technology Rhode

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Examination Duration: 90 minutes

Prerequisites none

Below you will find excerpts from events related to this course:

Python Algorithms for Automotive Engineering V Lecture (V) 2114862, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Teaching content:

• Introduction to Python and useful tools and libraries for creating algorithms, graphical representation, optimization, symbolic arithmetic and machine learning ◦ Anaconda, Pycharm, Jupyter ◦ NumPy, Matplotlib, SymPy, Scikit-Learn • Methods and tools for creating software ◦ Version management GitHub, git ◦ Testing software pytest, Pylint ◦ Documentation Sphinx ◦ Continuous Integration (CI) Travis CI ◦ Workflows in Open Source and Inner Source, Kanban, Scrum • Practical programming projects to: ◦ Road sign recognition ◦ Vehicle state estimation ◦ Calibration of vehicle models by mathematical optimization ◦ Data-based modelling of the powertrain of an electric vehicle

Objectives: The students have an overview of the programming language Python and important Python libraries to solve automotive engineering problems with computer programs. The students know current tools around Python to create algorithms, to apply them and to interpret and visualize their results. Furthermore, the students know basics in the creation of software to be used in later programming projects in order to develop high-quality software solutions in teamwork. Through practical programming projects (road sign recognition, vehicle state estimation, calibration, data-based modelling), the students can perform future complex tasks from the area of driver assistance systems.

Industrial Engineering and Management M.Sc. 630 Module Handbook as of 30/09/2021 7 COURSES Course: Python Algorithm for Vehicle Technology [T-MACH-110796]

Organizational issues Campus Ost, Geb. 70.04, Raum 219 Termine siehe Institutshomepage Bitte bringen Sie Ihren Laptop mit zu den Vorlesungen! Please bring your laptop to the lecture!

Literature

• A Whirlwind Tour of Python, Jake VanderPlas, Publisher: O'Reilly Media, Inc. Release Date: August 2016, ISBN: 9781492037859 link • Scientific Computing with Python 3, Olivier Verdier, Jan Erik Solem, Claus Führer, Publisher: Packt Publishing, Release Date: December 2016, ISBN: 9781786463517 link • Introduction to Machine Learning with Python, Sarah Guido, Andreas C. Müller, Publisher: O'Reilly Media, Inc., Release Date: October 2016, ISBN: 9781449369880, link • Clean Code, Robert C. Martin, Publisher: Prentice Hall, Release Date: August 2008, ISBN: 9780136083238, link

Industrial Engineering and Management M.Sc. 631 Module Handbook as of 30/09/2021 7 COURSES Course: Quality Management [T-MACH-102107]

T 7.345 Course: Quality Management [T-MACH-102107]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each winter term 1

Events WT 21/22 2149667 Quality Management 2 SWS Lecture / 🧩 Lanza Exams ST 2021 76-T-MACH-102107 Quality Management Lanza

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written Exam (60 min)

Prerequisites none

Below you will find excerpts from events related to this course:

Quality Management V Lecture (V) 2149667, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 632 Module Handbook as of 30/09/2021 7 COURSES Course: Quality Management [T-MACH-102107]

Content Based on the quality philosophies Total Quality Management (TQM) and Six Sigma, the lecture deals with the requirements of modern quality management. Within this context, the process concept of a modern enterprise and the process-specific fields of application of quality assurance methods are presented. The lecture covers the current state of the art in preventive and non- preventive quality management methods in addition to manufacturing metrology, statistical methods and service related quality management. The content is completed with the presentation of certification possibilities and legal quality aspects. Main topics of the lecture:

• The term "Quality" • Total Quality Management (TQM) and Six Sigma • Universal methods and tools • QM during early product stages – product denition • QM during product development and in procurement • QM in production – manufacturing metrology • QM in production – statistical methods • QM in service • Quality management systems • Legal aspects of QM

Learning Outcomes: The students …

• are capable to comment on the content covered by the lecture. • are capable of substantially quality philosophies. • are able to apply the QM tools and methods they have learned about in the lecture to new problems from the context of the lecture. • are able to analyze and evaluate the suitability of the methods, procedures and techniques they have learned about in the lecture for a specific problem.

Workload: regular attendance: 21 hours self-study: 99 hours

Organizational issues Start: 18.10.2021 Vorlesungstermine montags 10:00 Uhr Übung erfolgt während der Vorlesung

Literature Medien: Skript zur Veranstaltung wird über (https://ilias.studium.kit.edu/) bereitgestellt: Media: Lecture notes will be provided in Ilias (https://ilias.studium.kit.edu/).

Industrial Engineering and Management M.Sc. 633 Module Handbook as of 30/09/2021 7 COURSES Course: Quantitative Methods in Energy Economics [T-WIWI-107446]

T 7.346 Course: Quantitative Methods in Energy Economics [T-WIWI-107446]

Responsible: Dr. Patrick Plötz Organisation: KIT Department of Economics and Management Part of: M-WIWI-101451 - Energy Economics and Energy Markets

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 2

Events WT 21/22 2581007 Quantitative Methods in Energy 2 SWS Lecture Plötz, Dengiz, Yilmaz Economics WT 21/22 2581008 Übung zu Quantitative Methods in 1 SWS Practice Plötz, Dengiz, Yilmaz Energy Economics Exams ST 2021 7981007 Quantitative Methods in Energy Economics Fichtner

Competence Certificate The assessment consists of an oral (30 minutes) exam (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Quantitative Methods in Energy Economics V Lecture (V) 2581007, WS 21/22, 2 SWS, Language: English, Open in study portal

Content Energy economics makes use of many quantitative methods in exploration and analysis of data as well as in simulations and modelling. This lecture course aims at introducing students of energy economics into the application of quantitative methods and techniques as taught in elementary courses to real problems in energy economics. The focus is mainly on regression, simulation, time series analysis and related statistical methods as applied in energy economics. Learning Goals: The student

• knows and understands selected quantitative methods of energy economics • is able to use selected quantitative methods of energy economics • understands they range of usage, limits and is autonomously able to adress new problems by them.

Literature Wird in der Vorlesung bekannt gegeben.

Industrial Engineering and Management M.Sc. 634 Module Handbook as of 30/09/2021 7 COURSES Course: Quantum Functional Devices and Semiconductor Technology [T-ETIT-100740]

T 7.347 Course: Quantum Functional Devices and Semiconductor Technology [T- ETIT-100740]

Responsible: Prof. Dr.-Ing. Christian Koos Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-MACH-101294 - Nanotechnology M-MACH-101295 - Optoelectronics and Optical Communication

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Prerequisites none

Industrial Engineering and Management M.Sc. 635 Module Handbook as of 30/09/2021 7 COURSES Course: Rail System Technology [T-MACH-102143]

T 7.348 Course: Rail System Technology [T-MACH-102143]

Responsible: Prof. Dr.-Ing. Marcus Geimer Prof. Dr.-Ing. Peter Gratzfeld Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101274 - Rail System Technology

Type Credits Grading scale Recurrence Version Oral examination 9 Grade to a third Each term 3

Events

ST 2021 2115919 Rail System Technology 2 SWS Lecture / 🖥 Heckele, Gratzfeld ST 2021 2115996 Rail Vehicle Technology 2 SWS Lecture / 🖥 Reimann, Gratzfeld WT 21/22 2115919 Rail System Technology 2 SWS Lecture / 🗣 Heckele, Gratzfeld WT 21/22 2115996 Rail Vehicle Technology 2 SWS Lecture / 🗣 Reimann, Gratzfeld Exams ST 2021 76-T-MACH-102143 Rail System Technology Heckele, Reimann, Gratzfeld WT 21/22 76-T-MACH-102143 Rail System Technology Heckele, Reimann, Gratzfeld

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination Duration: ca. 45 minutes No tools or reference materials may be used during the exam.

Prerequisites none

Below you will find excerpts from events related to this course:

Rail System Technology V Lecture (V) 2115919, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content

1. Railway System: railway as system, subsystems and interdependencies, definitions, laws, rules, railway and environment, economic impact 2. Operation: Transportation, public transport, regional transport, long-distance transport, freight service, scheduling 3. Infrastructure: rail facilities, track alignment, railway stations, clearance diagram 4. Wheel-rail-contact: carrying of vehicle mass, adhesion, wheel guidance, current return 5. Vehicle dynamics: tractive and brake effort, driving resistance, inertial force, load cycles 6. Signaling and Control: operating procedure, succession of trains, European Train Control System, blocking period, automatic train control 7. Traction power supply: power supply of rail vehicles, comparison electric traction and diesel traction, dc and ac networks, system pantograph and contact wire, filling stations

Organizational issues Die Vorlesung "Bahnsystemtechnik" findet im SS 2021 als asynchrone Online-Veranstaltung statt.

Literature Eine Literaturliste steht den Studierenden auf der Ilias-Plattform zum Download zur Verfügung. A bibliography is available for download (Ilias-platform).

Industrial Engineering and Management M.Sc. 636 Module Handbook as of 30/09/2021 7 COURSES Course: Rail System Technology [T-MACH-102143]

Rail Vehicle Technology V Lecture (V) 2115996, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content

1. Vehicle system technology: structure and main systems of rail vehicles 2. Car body: functions, requirements, design principles, crash elements, coupling, doors and windows 3. Bogies: forces, running gears, bogies, Jakobs-bogies, active components, connection to car body, wheel arrangement 4. Drives: priciples, electric drives (main components, asynchronous traction motor, inverter, with DC supply, with AC supply, without line supply, multisystem vehicles, dual mode vehicles, hybrid vehicles), non-electric drives 5. Brakes: basics, principles (wheel brakes, rail brakes, blending), brake control (requirements and operation modes, pneumatic brake, electropneumatic brake, emergency brake, parking brake) 6. Train control management system: definition of TCMS, bus systems, components, network architectures, examples, future trends 7. Vehicle concepts: trams, metros, regional trains, intercity trains, high speed trains, double deck vehicles, locomotives, freight wagons

Organizational issues Die Vorlesung "Schienenfahrzeugtechnik" findet im SS 2021 als asynchrone Online-Veranstaltung statt.

Literature Eine Literaturliste steht den Studierenden auf der Ilias-Plattform zum Download zur Verfügung. A bibliography is available for download (Ilias-platform).

Rail System Technology V Lecture (V) 2115919, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content

1. Railway System: railway as system, subsystems and interdependencies, definitions, laws, rules, railway and environment, economic impact 2. Operation: Transportation, public transport, regional transport, long-distance transport, freight service, scheduling 3. Infrastructure: rail facilities, track alignment, railway stations, clearance diagram 4. Wheel-rail-contact: carrying of vehicle mass, adhesion, wheel guidance, current return 5. Vehicle dynamics: tractive and brake effort, driving resistance, inertial force, load cycles 6. Signaling and Control: operating procedure, succession of trains, European Train Control System, blocking period, automatic train control 7. Traction power supply: power supply of rail vehicles, comparison electric traction and diesel traction, dc and ac networks, system pantograph and contact wire, filling stations

Literature Eine Literaturliste steht den Studierenden auf der Ilias-Plattform zum Download zur Verfügung. A bibliography is available for download (Ilias-platform).

Rail Vehicle Technology V Lecture (V) 2115996, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content

1. Vehicle system technology: structure and main systems of rail vehicles 2. Car body: functions, requirements, design principles, crash elements, coupling, doors and windows 3. Bogies: forces, running gears, bogies, Jakobs-bogies, active components, connection to car body, wheel arrangement 4. Drives: priciples, electric drives (main components, asynchronous traction motor, inverter, with DC supply, with AC supply, without line supply, multisystem vehicles, dual mode vehicles, hybrid vehicles), non-electric drives 5. Brakes: basics, principles (wheel brakes, rail brakes, blending), brake control (requirements and operation modes, pneumatic brake, electropneumatic brake, emergency brake, parking brake) 6. Train control management system: definition of TCMS, bus systems, components, network architectures, examples, future trends 7. Vehicle concepts: trams, metros, regional trains, intercity trains, high speed trains, double deck vehicles, locomotives, freight wagons

Literature Eine Literaturliste steht den Studierenden auf der Ilias-Plattform zum Download zur Verfügung. A bibliography is available for download (Ilias-platform).

Industrial Engineering and Management M.Sc. 637 Module Handbook as of 30/09/2021 7 COURSES Course: Recommender Systems [T-WIWI-102847]

T 7.349 Course: Recommender Systems [T-WIWI-102847]

Responsible: Prof. Dr. Andreas Geyer-Schulz Organisation: KIT Department of Economics and Management Part of: M-WIWI-101410 - Business & Service Engineering M-WIWI-105661 - Data Science: Intelligent, Adaptive, and Learning Information Services

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2540506 Recommender Systems 2 SWS Lecture / 🖥 Geyer-Schulz ST 2021 2540507 Exercise Recommender Systems 1 SWS Practice / 🖥 Nazemi WT 21/22 2540506 Recommender Systems 2 SWS Lecture Geyer-Schulz WT 21/22 2540507 Exercise Recommender Systems 1 SWS Practice Geyer-Schulz, Nazemi Exams ST 2021 7900138 Recommender Systems Geyer-Schulz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course. A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Recommender Systems V Lecture (V) 2540506, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 638 Module Handbook as of 30/09/2021 7 COURSES Course: Recommender Systems [T-WIWI-102847]

Content At first, an overview of general aspects and concepts of recommender systems and its relevance for service providers and customers is given. Next, different categories of recommender systems are discussed. This includes explicit recommendations like customer reviews as well as implicit services based on behavioral data. Furthermore, the course gives a detailed view of the current research on recommender systems at the Chair of Information Services and Electronic Markets. Learning objectives: The student

• is proficient in different statistical, data-mining, and game theory methods of computing implicit and explicit recommendations • evaluates recommender systems and compares these with related services

Workload: The total workload for this course is approximately 135 hours (4.5 credits): Time of attendance

• Attending the lecture: 15 x 90min = 22h 30m • Attending the exercise classes: 7 x 90min = 10h 30m • Examination: 1h 00m

Self-study

• Preparation and wrap-up of the lecture: 15 x 180min = 45h 00m • Preparing the exercises: 25h 00m • Preparation of the examination: 31h 00m

Sum: 135h 00m Exam: Assessment consists of a written exam of 1 hour length following §4 (2), 1 of the examination regulation and by submitting written papers as part of the exercise following §4 (2), 3 of the examination regulation. The course is considered successfully taken, if at least 50 out of 100 points are acquired in the written exam. In this case, all additional points (up to 10) from excersise work will be added. Grade: Minimum points

• 1,0: 95 • 1,3: 90 • 1,7: 85 • 2,0: 80 • 2,3: 75 • 2,7: 70 • 3,0: 65 • 3,3: 60 • 3,7: 55 • 4,0: 50 • 5,0: 0

Industrial Engineering and Management M.Sc. 639 Module Handbook as of 30/09/2021 7 COURSES Course: Recommender Systems [T-WIWI-102847]

Literature Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. In Sushil Jajodia Peter Buneman, editor, Proceedings of the ACM SIGMOD International Conference on Management of Data, volume 22, Washington, D.C., USA, Jun 1993. ACM, ACM Press. Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules. In Proceedings of the 20th Very Large Databases Conference, Santiago, Chile, pages 487 – 499, Sep 1994. Asim Ansari, Skander Essegaier, and Rajeev Kohli. Internet recommendation systems. Journal of Marketing Research, 37:363 – 375, Aug 2000. Christopher Avery, Paul Resnick, and Richard Zweckhauser. The market for evaluations. American Economic Review, 89(3):564 – 584, 1999. Ibrahim Cingil, Asuman Dogac, and Ayca Azgin. A Broader Approach to Personalization. Communications of the ACM, 43(8):136 – 141, Aug 2000. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern Classification. Wiley-Interscience, New York, 2 edition, 2001. Andreas Geyer-Schulz, Michael Hahsler, and Maximilian Jahn. A customer purchase incidence model applied to recommender services. In R. Kohavi et al., editor, Proceedings of the WebKDD 2001 – Mining log data across all customer touchpoints, volume 2356 of Lecture Notes in Artificial Intelligence LNAI, pages 25–47, Berlin, 2002. ACM, Springer-Verlag. Jon M. Kleinberg. Authoritative sources in a hyperlinked environment. JACM, 46(5):604–632, sep 1999. Joseph Konstan, Bradley Miller, David Maltz, Jonathan Herlocker, Lee Gordon, and John Riedl. Grouplens: Applying Collaborative Filtering to Usernet News. Communications of the ACM, 40(3):77 – 87, Mar 1997. Paul Resnick, Neophytos Iacovou, Peter Bergstrom, and John Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of the conference on Computer supported cooperative work, pages 175 – 186. ACM Press, 1994. Weiterführende Literatur: Antoinette Alexander. The return of hardware: A necessary evil? Accounting Technology, 15(8):46 – 49, Sep 1999. Christopher Avery and Richard Zeckhauser. Recommender systems for evaluating computer messages. Communications of the ACM, 40(3):88 – 89, Mar 1997. Steven Bellman, Gerald Lohse, and Eric Johnson. Predictors of Online Buying Behavior. Communications of the ACM, 42(12):32 – 38, Dec 1999. Thomas J. Blischok. Every transaction tells a story. Chain Store Age Executive with Shopping Center Age, 71(3):50–56, Mar 1995. Hans Hermann Bock. Automatische Klassifikation. Vandenhoeck und Ruprecht, Göttingen, 1974. Andrew S.C. Ehrenberg. Repeat-Buying: Facts, Theory and Applications. Charles Griffin & Company Ltd, London, 2 edition, 1988. Wolfgang Gaul, Andreas Geyer-Schulz, Michael Hahsler, and Lars Schmidt-Thieme. eMarketing mittels Recommendersystemen. Marketing ZFP, 24:47 – 55, 2002. Andreas Geyer-Schulz, Michael Hahsler, and Maximilian Jahn. myvu: a next generation recommender system based on observed consumer behavior and interactive evolutionary algorithms. In W. Gaul, O. Opitz, and M. Schader, editors, Data Analysis – Scientific Modeling and Practical Applications, volume 18 of Studies in Classification, Data Analysis and Knowledge Organization, pages 447 – 457, Heidelberg, Germany, 2000. Springer. Andreas Geyer-Schulz, Michael Hahsler, and Maximillian Jahn. Educational and scientific recommender systems: Designing the information channels of the virtual university. International Journal of Engineering Education, 17(2):153 – 163, 2001. Mark-Edward Grey. Recommendersysteme auf Basis linearer Regression, 2004. John A. Hartigan. Clustering Algorithms. John Wiley and Sons, New York, 1975. Kevin Kelly. New Rules for the New Economy: 10 Radical Strategies for a Connected World. Viking, 1998. Taek-Hun Kim, Young-Suk Ryu, Seok-In Park, and Sung-Bong Yang. An improved recommendation algorithm in collaborative filtering. In K. Bauknecht, A. Min Tjoa, and G. Quirchmayr, editors, E-Commerce and Web Technologies, Third International Conference, Aix-en-Provence, France, volume 2455 of Lecture Notes in Computer Science, pages 254–261, Berlin, Sep 2002. Springer-Verlag. Ron Kohavi, Brij Masand, Myra Spiliopoulou, and Jaideep Srivastava. Web mining. Data Mining and Knowledge Discovery, 6:5 – 8, 2002. G. S. Maddala. Introduction to Econometrics. John Wiley, Chichester, 3 edition, 2001. Andreas Mild and Martin Natter. Collaborative filtering or regression models for Internet recommendation systems? Journal of Targeting, Measurement and Analysis for Marketing, 10(4):304 – 313, Jan 2002. Andreas Mild and Thomas Reutterer. An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data. Journal of Retailing & Consumer Services, 10(3):123–133, may 2003. Paul Resnick and Hal R. Varian. Recommender Systems. Communications of the ACM, 40(3):56 – 58, Mar 1997. Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, Jon Herlocker, Brad Miller, and John Riedl. Using filtering agents to improve prediction quality in the grouplens research collaborative filtering system. In Proceedings of ACM Conference on Computer- Supported Cooperative Work, Social Filtering, Social Influences, pages 345 – 354, New York, 1998. ACM Press. J. Ben Schafer, Joseph Konstan, and Jon Riedl. Recommender Systems in E-commerce. In Proceedings of the 1st ACM conference on Electronic commerce, pages 158 – 166, Denver, Colorado, USA, Nov 1999. ACM.

Industrial Engineering and Management M.Sc. 640 Module Handbook as of 30/09/2021 7 COURSES Course: Recommender Systems [T-WIWI-102847]

Upendra Shardanand and Patti Maes. Social information filtering: Algorithms for automating "word of mouth". In Proceedings of ACM SIGCHI, volume 1 of Papers: Using the Information of Others, pages 210 – 217. ACM, 1995.

Recommender Systems V Lecture (V) 2540506, WS 21/22, 2 SWS, Language: German, Open in study portal

Content At first, an overview of general aspects and concepts of recommender systems and its relevance for service providers and customers is given. Next, different categories of recommender systems are discussed. This includes explicit recommendations like customer reviews as well as implicit services based on behavioral data. Furthermore, the course gives a detailed view of the current research on recommender systems at the Chair of Information Services and Electronic Markets. Learning objectives: The student

• is proficient in different statistical, data-mining, and game theory methods of computing implicit and explicit recommendations • evaluates recommender systems and compares these with related services

Workload: The total workload for this course is approximately 135 hours (4.5 credits): Time of attendance

• Attending the lecture: 15 x 90min = 22h 30m • Attending the exercise classes: 7 x 90min = 10h 30m • Examination: 1h 00m

Self-study

• Preparation and wrap-up of the lecture: 15 x 180min = 45h 00m • Preparing the exercises: 25h 00m • Preparation of the examination: 31h 00m

Sum: 135h 00m Exam: Assessment consists of a written exam of 1 hour length following §4 (2), 1 of the examination regulation and by submitting written papers as part of the exercise following §4 (2), 3 of the examination regulation. The course is considered successfully taken, if at least 50 out of 100 points are acquired in the written exam. In this case, all additional points (up to 10) from excersise work will be added. Grade: Minimum points

• 1,0: 95 • 1,3: 90 • 1,7: 85 • 2,0: 80 • 2,3: 75 • 2,7: 70 • 3,0: 65 • 3,3: 60 • 3,7: 55 • 4,0: 50 • 5,0: 0

Industrial Engineering and Management M.Sc. 641 Module Handbook as of 30/09/2021 7 COURSES Course: Recommender Systems [T-WIWI-102847]

Literature Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. In Sushil Jajodia Peter Buneman, editor, Proceedings of the ACM SIGMOD International Conference on Management of Data, volume 22, Washington, D.C., USA, Jun 1993. ACM, ACM Press. Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining association rules. In Proceedings of the 20th Very Large Databases Conference, Santiago, Chile, pages 487 – 499, Sep 1994. Asim Ansari, Skander Essegaier, and Rajeev Kohli. Internet recommendation systems. Journal of Marketing Research, 37:363 – 375, Aug 2000. Christopher Avery, Paul Resnick, and Richard Zweckhauser. The market for evaluations. American Economic Review, 89(3):564 – 584, 1999. Ibrahim Cingil, Asuman Dogac, and Ayca Azgin. A Broader Approach to Personalization. Communications of the ACM, 43(8):136 – 141, Aug 2000. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern Classification. Wiley-Interscience, New York, 2 edition, 2001. Andreas Geyer-Schulz, Michael Hahsler, and Maximilian Jahn. A customer purchase incidence model applied to recommender services. In R. Kohavi et al., editor, Proceedings of the WebKDD 2001 – Mining log data across all customer touchpoints, volume 2356 of Lecture Notes in Artificial Intelligence LNAI, pages 25–47, Berlin, 2002. ACM, Springer-Verlag. Jon M. Kleinberg. Authoritative sources in a hyperlinked environment. JACM, 46(5):604–632, sep 1999. Joseph Konstan, Bradley Miller, David Maltz, Jonathan Herlocker, Lee Gordon, and John Riedl. Grouplens: Applying Collaborative Filtering to Usernet News. Communications of the ACM, 40(3):77 – 87, Mar 1997. Paul Resnick, Neophytos Iacovou, Peter Bergstrom, and John Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of the conference on Computer supported cooperative work, pages 175 – 186. ACM Press, 1994. Weiterführende Literatur: Antoinette Alexander. The return of hardware: A necessary evil? Accounting Technology, 15(8):46 – 49, Sep 1999. Christopher Avery and Richard Zeckhauser. Recommender systems for evaluating computer messages. Communications of the ACM, 40(3):88 – 89, Mar 1997. Steven Bellman, Gerald Lohse, and Eric Johnson. Predictors of Online Buying Behavior. Communications of the ACM, 42(12):32 – 38, Dec 1999. Thomas J. Blischok. Every transaction tells a story. Chain Store Age Executive with Shopping Center Age, 71(3):50–56, Mar 1995. Hans Hermann Bock. Automatische Klassifikation. Vandenhoeck und Ruprecht, Göttingen, 1974. Andrew S.C. Ehrenberg. Repeat-Buying: Facts, Theory and Applications. Charles Griffin & Company Ltd, London, 2 edition, 1988. Wolfgang Gaul, Andreas Geyer-Schulz, Michael Hahsler, and Lars Schmidt-Thieme. eMarketing mittels Recommendersystemen. Marketing ZFP, 24:47 – 55, 2002. Andreas Geyer-Schulz, Michael Hahsler, and Maximilian Jahn. myvu: a next generation recommender system based on observed consumer behavior and interactive evolutionary algorithms. In W. Gaul, O. Opitz, and M. Schader, editors, Data Analysis – Scientific Modeling and Practical Applications, volume 18 of Studies in Classification, Data Analysis and Knowledge Organization, pages 447 – 457, Heidelberg, Germany, 2000. Springer. Andreas Geyer-Schulz, Michael Hahsler, and Maximillian Jahn. Educational and scientific recommender systems: Designing the information channels of the virtual university. International Journal of Engineering Education, 17(2):153 – 163, 2001. Mark-Edward Grey. Recommendersysteme auf Basis linearer Regression, 2004. John A. Hartigan. Clustering Algorithms. John Wiley and Sons, New York, 1975. Kevin Kelly. New Rules for the New Economy: 10 Radical Strategies for a Connected World. Viking, 1998. Taek-Hun Kim, Young-Suk Ryu, Seok-In Park, and Sung-Bong Yang. An improved recommendation algorithm in collaborative filtering. In K. Bauknecht, A. Min Tjoa, and G. Quirchmayr, editors, E-Commerce and Web Technologies, Third International Conference, Aix-en-Provence, France, volume 2455 of Lecture Notes in Computer Science, pages 254–261, Berlin, Sep 2002. Springer-Verlag. Ron Kohavi, Brij Masand, Myra Spiliopoulou, and Jaideep Srivastava. Web mining. Data Mining and Knowledge Discovery, 6:5 – 8, 2002. G. S. Maddala. Introduction to Econometrics. John Wiley, Chichester, 3 edition, 2001. Andreas Mild and Martin Natter. Collaborative filtering or regression models for Internet recommendation systems? Journal of Targeting, Measurement and Analysis for Marketing, 10(4):304 – 313, Jan 2002. Andreas Mild and Thomas Reutterer. An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data. Journal of Retailing & Consumer Services, 10(3):123–133, may 2003. Paul Resnick and Hal R. Varian. Recommender Systems. Communications of the ACM, 40(3):56 – 58, Mar 1997. Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, Jon Herlocker, Brad Miller, and John Riedl. Using filtering agents to improve prediction quality in the grouplens research collaborative filtering system. In Proceedings of ACM Conference on Computer- Supported Cooperative Work, Social Filtering, Social Influences, pages 345 – 354, New York, 1998. ACM Press. J. Ben Schafer, Joseph Konstan, and Jon Riedl. Recommender Systems in E-commerce. In Proceedings of the 1st ACM conference on Electronic commerce, pages 158 – 166, Denver, Colorado, USA, Nov 1999. ACM.

Industrial Engineering and Management M.Sc. 642 Module Handbook as of 30/09/2021 7 COURSES Course: Recommender Systems [T-WIWI-102847]

Upendra Shardanand and Patti Maes. Social information filtering: Algorithms for automating "word of mouth". In Proceedings of ACM SIGCHI, volume 1 of Papers: Using the Information of Others, pages 210 – 217. ACM, 1995.

Industrial Engineering and Management M.Sc. 643 Module Handbook as of 30/09/2021 7 COURSES Course: Regulation Theory and Practice [T-WIWI-102712]

T 7.350 Course: Regulation Theory and Practice [T-WIWI-102712]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101406 - Network Economics M-WIWI-101451 - Energy Economics and Energy Markets

Type Credits Grading scale Recurrence Version Oral examination 4,5 Grade to a third see Annotations 2

Competence Certificate The lecture is not offered for an indefinite period of time. Result of success is made by a 20-30 minutes oral examination. Examination is offered every semester and can be retried at any regular examination date.

Prerequisites None

Recommendation Basic knowledge and skills of microeconomics from undergraduate studies (bachelor’s degree) are expected. Particularly helpful but not necessary: Industrial Economics and Principal-Agent- or Contract theories. Prior attendance of the lectureCompetition in Networks [26240] is helpful in any case but not considered a formal precondition.

Annotation The lecture is not offered for an indefinite period of time.

Industrial Engineering and Management M.Sc. 644 Module Handbook as of 30/09/2021 7 COURSES Course: Responsible Artificial Intelligence [T-WIWI-111385]

T 7.351 Course: Responsible Artificial Intelligence [T-WIWI-111385]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103117 - Data Science: Data-Driven Information Systems M-WIWI-103118 - Data Science: Data-Driven User Modeling

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each winter term 1

Competence Certificate The final grade is based on an examination of other type according to § 4 Par. 2 No. 3. It consists of

• The completion of an exercise including a short presentation (15 min)(max. 30 points) • The completion of a case study including an oral exam (max. 60 points).

Further details are explained during the lecture.

Prerequisites Readings will be provided to work through before the lecture.

Industrial Engineering and Management M.Sc. 645 Module Handbook as of 30/09/2021 7 COURSES Course: Risk Management in Industrial Supply Networks [T-WIWI-102826]

T 7.352 Course: Risk Management in Industrial Supply Networks [T-WIWI-102826]

Responsible: Prof. Dr. Frank Schultmann PD Dr. Marcus Wiens Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each winter term 1

Events

WT 21/22 2581992 Risk Management in Industrial 2 SWS Lecture / 🖥 Klein Supply Networks

WT 21/22 2581993 Übung zu Risk Management in 1 SWS Practice / 🖥 Klein Industrial Supply Networks Exams ST 2021 7981992 Risk Management in Industrial Supply Networks Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral (30 minutes) or written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (examination of another type, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Risk Management in Industrial Supply Networks V Lecture (V) 2581992, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content Students learn methods and tools to manage risks in complex and dynamically evolving supply chain networks. Students learn the key terms and concepts of risk management and decision theory, in particular expected utility theory. Based on the theoretic prerequisites, students are able to determine and analyze risk diversification, risk pooling, insurance mechanisms and get an overview on statistical risk measures and real options. These approaches are adapted to analyze supply chain risks in a network context. In this manner, students gain knowledge in basic notions of network theory, network metrics and network-strategies for supply chain decisions.

• Introduction • Risks in decisions under uncertainty: Expected Utility Theory & risk preferences • The newsvendor model; multivariate risks and insurance • Risk measures & evaluation techniques: Value-at-Risk, Conditional Value at Risk, Monte Carlo and Real Options • Transparency in complex supply chains • Network risk: network basics and criticality • Risk in supply networks: empirical approaches and insights

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 646 Module Handbook as of 30/09/2021 7 COURSES Course: Roadmapping [T-WIWI-102853]

T 7.353 Course: Roadmapping [T-WIWI-102853]

Responsible: Dr. Daniel Jeffrey Koch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events

ST 2021 2545102 Roadmapping 2 SWS Seminar / 🖥 Koch Exams ST 2021 7900055 Roadmapping Weissenberger-Eibl

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Non exam assessment (§4 (2), 3 SPO 2007) respectively alternative exam assessments (§4(2), 3 SPO).

Prerequisites None

Recommendation Prior attendance of the course Innovation Management is recommended.

Annotation See German version.

Below you will find excerpts from events related to this course:

Roadmapping V Seminar (S) 2545102, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content Technology Assessment can play a role at different points in the innovation process and can be considered as decision support for or against certain technological options. The seminar Technology Assessment will focus on the early phase "fuzzy front end" in innovation management. The technology assessment will take place here under a high degree of uncertainty regarding future technological developments. The evaluation of technologies can be done with methods such as Technology Readiness, Technology Lifecycle Analysis, Portfolio Analysis, etc.. The early evaluation of technologies is particularly important against the background of limited resources in companies and uncertainty about future developments.

Industrial Engineering and Management M.Sc. 647 Module Handbook as of 30/09/2021 7 COURSES Course: Safety Engineering [T-MACH-105171]

T 7.354 Course: Safety Engineering [T-MACH-105171]

Responsible: Hans-Peter Kany Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 2

Events

WT 21/22 2117061 Safety Engineering 2 SWS Lecture / 🗣 Kany Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulation.

Prerequisites none

Below you will find excerpts from events related to this course:

Safety Engineering V Lecture (V) 2117061, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content Media Presentations Learning content The course provides basic knowledge of safety engineering. In particular the basics of health at the working place, job safety in Germany, national and European safety rules and the basics of safe machine design are covered. The implementation of these aspects will be illustrated by examples of material handling and storage technology. This course focuses on: basics of safety at work, safety regulations, basic safety principles of machine design, protection devices, system security with risk analysis, electronics in safety engineering, safety engineering for storage and material handling technique, electrical dangers and ergonomics. So, mainly, the technical measures of risk reduction in specific technical circumstances are covered. Learning goals The students are able to:

• Name and describe relevant safety concepts of safety engineering, • Discuss basics of health at work and labour protection in Germany, • Evaluate the basics for the safe methods of design of machinery with the national and European safety regulations and • Realize these objectives by using examples in the field of storage and material handling systems.

Recommendations None Workload Regular attendance: 21 hours Self-study: 99 hours

Organizational issues Termine: siehe ILIAS. Erste Vorlesung 5.November 2021.

Literature Defren/Wickert: Sicherheit für den Maschinen- und Anlagenbau, Druckerei und Verlag: H. von Ameln, Ratingen

Industrial Engineering and Management M.Sc. 648 Module Handbook as of 30/09/2021 7 COURSES Course: Safety Management in Highway Engineering [T-BGU-101674]

T 7.355 Course: Safety Management in Highway Engineering [T-BGU-101674]

Responsible: Dr.-Ing. Matthias Zimmermann Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101066 - Safety, Computing and Law in Highway Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 6233906 Sicherheitsmanagement im 2 SWS Lecture / Practice ( / Zimmermann Straßenwesen 🗣 Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam with 15 minutes

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 649 Module Handbook as of 30/09/2021 7 COURSES Course: Selected Applications of Technical Logistics [T-MACH-102160]

T 7.356 Course: Selected Applications of Technical Logistics [T-MACH-102160]

Responsible: Viktor Milushev Dr.-Ing. Martin Mittwollen Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events

ST 2021 2118087 Selected Applications of 3 SWS Lecture / 🗙 Mittwollen Technical Logistics Exams ST 2021 76-T-MACH-102160 Selected Applications of Technical Logistics Mittwollen WT 21/22 76-T-MACH-102160 Selected Applications of Technical Logistics Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulation.

Prerequisites none

Recommendation Knowledge out of Basics of Technical Logistics I (T-MACH-109919) / Elements and Systems of Technical Logistics (T- MACH-102159) preconditioned.

Below you will find excerpts from events related to this course:

Selected Applications of Technical Logistics V Lecture (V) 2118087, SS 2021, 3 SWS, Language: German, Open in study portal Cancelled

Content

• design and dimension of machines from intralogistics • static and dynamic behaviour • operation properties and specifics • Inside practical lectures: sample applications and calculations in addition to the lectures

Details according schedule will be published

Organizational issues Die Erfolgskontrolle erfolgt in Form einer mündlichen (20min.) Prüfung (nach §4 (2), 2 SPO). Die Prüfung wird in jedem Semester angeboten und kann zu jedem ordentlichen Prüfungstermin wiederholt werden. The assessment consists of an oral exam (20 min.) taking place in the recess period according to § 4 paragraph 2 Nr. 2 of the examination regulation. Es werden inhaltliche Kenntnisse aus der Veranstaltung „Grundlagen der Technischen Logistik-I“ (LV 2117095) vorausgesetzt Knowledge out of Basics of Technical Logistics-I preconditioned

Literature Empfehlungen in der Vorlesung

Industrial Engineering and Management M.Sc. 650 Module Handbook as of 30/09/2021 7 COURSES Course: Selected Applications of Technical Logistics - Project [T-MACH-108945]

T 7.357 Course: Selected Applications of Technical Logistics - Project [T-MACH-108945]

Responsible: Viktor Milushev Dr.-Ing. Martin Mittwollen Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Examination of another type 2 Grade to a third Each summer term 1

Events

ST 2021 2118088 Selected Applications of 1 SWS Project (P / 🗙 Mittwollen Technical Logistics - Project Exams ST 2021 76-T-MACH-108945 Selected Applications of Technical Logistics - Project Mittwollen

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate presentation of performed project and defense (30min) according to $4 (2), No. 3 of the examination regulation

Prerequisites T-MACH-102160 (selected applications of technical logistics) must have been started

Recommendation Knowledge out of Basics of Technical Logistics I (T-MACH-109919) / Elements and Systems of Technical Logistics (T- MACH-102159) preconditioned.

Below you will find excerpts from events related to this course:

Selected Applications of Technical Logistics - Project V Project (PRO) 2118088, SS 2021, 1 SWS, Language: German, Open in study portal Cancelled

Organizational issues Ort und Zeit: siehe ILIAS / Homepage / Infos in der Veranstaltung

Literature Empfehlungen in der Vorlesung

Industrial Engineering and Management M.Sc. 651 Module Handbook as of 30/09/2021 7 COURSES Course: Selected Issues in Critical Information Infrastructures [T-WIWI-109251]

T 7.358 Course: Selected Issues in Critical Information Infrastructures [T-WIWI-109251]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2512403 Advanced Lab Blockchain Practical course / 🖥 Sunyaev, Beyene, Hackathon (Master) Kannengießer WT 21/22 2513401 Seminar Selected Issues in Critical Seminar Sunyaev, Lins Information Infrastructures (Master) Exams ST 2021 7900172 Lab Blockchain Hackathon (Master) Sunyaev WT 21/22 7900094 Seminar Selected Issues in Critical Information Infrastructures Sunyaev (Master)

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO). Details will be announced in the respective course.

Prerequisites None.

Annotation T-WIWI-109251 "Selected Issues in Critical Information Infrastructures" serves to credit an extracurricular course in the module "Critical Digital Infrastructures".

Industrial Engineering and Management M.Sc. 652 Module Handbook as of 30/09/2021 7 COURSES Course: Selected Legal Issues of Internet Law [T-INFO-108462]

T 7.359 Course: Selected Legal Issues of Internet Law [T-INFO-108462]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: M-INFO-101215 - Intellectual Property Law

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events

ST 2021 24821 Selected legal issues of Internet law 2 SWS Colloquium (K / 🖥 Dreier Exams ST 2021 7500226 Selected legal issues of Internet law Dreier

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 653 Module Handbook as of 30/09/2021 7 COURSES Course: Selected Topics on Optics and Microoptics for Mechanical Engineers [T-MACH-102165]

T 7.360 Course: Selected Topics on Optics and Microoptics for Mechanical Engineers [T- MACH-102165]

Responsible: Dr. Mathias Heckele Dr.-Ing. Timo Mappes Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101287 - Microsystem Technology M-MACH-101290 - BioMEMS M-MACH-101292 - Microoptics

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each term 1

Competence Certificate Oral examination

Prerequisites none

Industrial Engineering and Management M.Sc. 654 Module Handbook as of 30/09/2021 7 COURSES Course: Self-Booking-HOC-SPZ-ZAK-Graded [T-WIWI-111439]

T 7.361 Course: Self-Booking-HOC-SPZ-ZAK-Graded [T-WIWI-111439]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Completed coursework 2 pass/fail 1

Self service assignment of supplementary stdues This course can be used for self service assignment of grade aquired from the following study providers:

• House of Competence • Sprachenzentrum • Zentrum für Angewandte Kulturwissenschaft und Studium Generale

Annotation Placeholder for self-booking of a graded interdisciplinary qualification, which was provided at the House of Competence, the "Sprachenzentrum" or the Center for Applied Cultural Studies and Studium Generale.

Industrial Engineering and Management M.Sc. 655 Module Handbook as of 30/09/2021 7 COURSES Course: Self-Booking-HOC-SPZ-ZAK-Graded [T-WIWI-111438]

T 7.362 Course: Self-Booking-HOC-SPZ-ZAK-Graded [T-WIWI-111438]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Completed coursework 1 pass/fail 1

Self service assignment of supplementary stdues This course can be used for self service assignment of grade aquired from the following study providers:

• House of Competence • Sprachenzentrum • Zentrum für Angewandte Kulturwissenschaft und Studium Generale

Annotation Placeholder for self-booking of a graded interdisciplinary qualification, which was provided at the House of Competence, the "Sprachenzentrum" or the Center for Applied Cultural Studies and Studium Generale.

Industrial Engineering and Management M.Sc. 656 Module Handbook as of 30/09/2021 7 COURSES Course: Self-Booking-HOC-SPZ-ZAK-Graded [T-WIWI-111440]

T 7.363 Course: Self-Booking-HOC-SPZ-ZAK-Graded [T-WIWI-111440]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Completed coursework 3 pass/fail 1

Self service assignment of supplementary stdues This course can be used for self service assignment of grade aquired from the following study providers:

• House of Competence • Sprachenzentrum • Zentrum für Angewandte Kulturwissenschaft und Studium Generale

Annotation Placeholder for self-booking of a graded interdisciplinary qualification, which was provided at the House of Competence, the "Sprachenzentrum" or the Center for Applied Cultural Studies and Studium Generale.

Industrial Engineering and Management M.Sc. 657 Module Handbook as of 30/09/2021 7 COURSES Course: Self-Booking-HOC-SPZ-ZAK-Ungraded [T-WIWI-111442]

T 7.364 Course: Self-Booking-HOC-SPZ-ZAK-Ungraded [T-WIWI-111442]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Completed coursework 2 pass/fail 1

Self service assignment of supplementary stdues This course can be used for self service assignment of grade aquired from the following study providers:

• House of Competence • Sprachenzentrum • Zentrum für Angewandte Kulturwissenschaft und Studium Generale

Annotation Placeholder for self-booking of a ungraded interdisciplinary qualification, which was provided at the House of Competence, the "Sprachenzentrum" or the Center for Applied Cultural Studies and Studium Generale.

Industrial Engineering and Management M.Sc. 658 Module Handbook as of 30/09/2021 7 COURSES Course: Self-Booking-HOC-SPZ-ZAK-Ungraded [T-WIWI-111441]

T 7.365 Course: Self-Booking-HOC-SPZ-ZAK-Ungraded [T-WIWI-111441]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Completed coursework 1 pass/fail 1

Self service assignment of supplementary stdues This course can be used for self service assignment of grade aquired from the following study providers:

• House of Competence • Sprachenzentrum • Zentrum für Angewandte Kulturwissenschaft und Studium Generale

Annotation Placeholder for self-booking of a ungraded interdisciplinary qualification, which was provided at the House of Competence, the "Sprachenzentrum" or the Center for Applied Cultural Studies and Studium Generale.

Industrial Engineering and Management M.Sc. 659 Module Handbook as of 30/09/2021 7 COURSES Course: Self-Booking-HOC-SPZ-ZAK-Ungraded [T-WIWI-111443]

T 7.366 Course: Self-Booking-HOC-SPZ-ZAK-Ungraded [T-WIWI-111443]

Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Completed coursework 3 pass/fail 1

Self service assignment of supplementary stdues This course can be used for self service assignment of grade aquired from the following study providers:

• House of Competence • Sprachenzentrum • Zentrum für Angewandte Kulturwissenschaft und Studium Generale

Annotation Placeholder for self-booking of a ungraded interdisciplinary qualification, which was provided at the House of Competence, the "Sprachenzentrum" or the Center for Applied Cultural Studies and Studium Generale.

Industrial Engineering and Management M.Sc. 660 Module Handbook as of 30/09/2021 7 COURSES Course: Semantic Web Technologies [T-WIWI-110848]

T 7.367 Course: Semantic Web Technologies [T-WIWI-110848]

Responsible: Tobias Christof Käfer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2511310 Semantic Web Technologies 2 SWS Lecture / 🖥 Färber, Käfer, Heling ST 2021 2511311 Exercises to Semantic Web 1 SWS Practice / 🖥 Färber, Käfer, Heling Technologies Exams ST 2021 7900028 Semantic Web Technologies (Registration until 12 July 2021) Färber WT 21/22 7900022 Semantic Web Technologies Sure-Vetter

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an 1h written exam following §4, Abs. 2, 1 of the examination regulation or of an oral exam (20 min) following §4, Abs. 2, 2 of the examination regulation. The exam takes place every semester and can be repeated at every regular examination date.

Prerequisites None

Recommendation Lectures on Informatics of the Bachelor on Information Systems (Semester 1-4) or equivalent are required.

Below you will find excerpts from events related to this course:

Semantic Web Technologies V Lecture (V) 2511310, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 661 Module Handbook as of 30/09/2021 7 COURSES Course: Semantic Web Technologies [T-WIWI-110848]

Content The aim of the Semantic Web is to make the meaning (semantics) of data on the web usable in intelligent systems, e.g. in e- commerce and internet portals Central concepts are the representation of knowledge in form of RDF and ontologies, the access via Linked Data, as well as querying the data by using SPARQL. This lecture provides the foundations of knowledge representation and processing for the corresponding technologies and presents example applications. The following topics are covered:

• Resource Description Framework (RDF) and RDF Schema (RDFS) • Web Architecture and Linked Data • Web Ontology Language (OWL) • Query language SPARQL • Rule languages • Applications

Learning objectives: The student

• understands the motivation and foundational ideas behind Semantic Web and Linked Data technologies, and is able to analyse and realise systems • demonstrates basic competency in the areas of data and system integration on the web • masters advanced knowledge representation scenarios involving ontologies

Recommendations: Lectures on Informatics of the Bachelor on Information Systems (Semester 1-4) or equivalent are required. Knowledge of modeling with UML is required. Workload:

• The total workload for this course is approximately 135 hours • Time of presentness: 45 hours • Time of preperation and postprocessing: 60 hours • Exam and exam preperation: 30 hours

Literature

• Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, York Sure: Semantic Web – Grundlagen. Springer, 2008. • John Domingue, Dieter Fensel, James A. Hendler (Editors). Handbook of Semantic Web Technologies. Springer, 2011.

Weitere Literatur

• S. Staab, R. Studer (Editors). Handbook on Ontologies. International Handbooks in Information Systems. Springer, 2003. • Tim Berners-Lee. Weaving the Web. Harper, 1999 geb. 2000 Taschenbuch. • Ian Jacobs, Norman Walsh. Architecture of the World Wide Web, Volume One. W3C Recommendation 15 December 2004. http://www.w3.org/TR/webarch/ • Dean Allemang. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, 2008. • Tom Heath and Chris Bizer. Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web: Theory and Technology, 2011.

Exercises to Semantic Web Technologies V Practice (Ü) 2511311, SS 2021, 1 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 662 Module Handbook as of 30/09/2021 7 COURSES Course: Semantic Web Technologies [T-WIWI-110848]

Content The exercises are related to the lecture Semantic Web Technologies. Multiple exercises are held that capture the topics, held in the lecture Semantic Web Technologies, and discuss them in detail. Thereby, practical examples are given to the students in order to transfer theoretical aspects into practical implementation. The following topics are covered:

• Resource Description Framework (RDF) and RDF Schema (RDFS) • Web Architecture and Linked Data • Web Ontology Language (OWL) • Query language SPARQL • Rule languages • Applications

Learning objectives: The student

• understands the motivation and foundational ideas behind Semantic Web and Linked Data technologies, and is able to analyse and realise systems • demonstrates basic competency in the areas of data and system integration on the web • masters advanced knowledge representation scenarios involving ontologies

Recommendations: Lectures on Informatics of the Bachelor on Information Systems (Semester 1-4) or equivalent are required. Knowledge of modeling with UML is required.

Literature

• Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, York Sure: Semantic Web – Grundlagen. Springer, 2008. • John Domingue, Dieter Fensel, James A. Hendler (Editors). Handbook of Semantic Web Technologies. Springer, 2011.

Weitere Literatur

• S. Staab, R. Studer (Editors). Handbook on Ontologies. International Handbooks in Information Systems. Springer, 2003. • Tim Berners-Lee. Weaving the Web. Harper, 1999 geb. 2000 Taschenbuch. • Ian Jacobs, Norman Walsh. Architecture of the World Wide Web, Volume One. W3C Recommendation 15 December 2004. http://www.w3.org/TR/webarch/ • Dean Allemang. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, 2008. • Tom Heath and Chris Bizer. Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web: Theory and Technology, 2011.

Industrial Engineering and Management M.Sc. 663 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Data-Mining in Production [T-MACH-108737]

T 7.368 Course: Seminar Data-Mining in Production [T-MACH-108737]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering

Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2151643 Seminar Data Mining in 2 SWS Seminar / 🖥 Lanza Production WT 21/22 2151643 Seminar Data Mining in 2 SWS Seminar / 🧩 Lanza Production Exams ST 2021 76-T-MACH-108737 Seminar Data-Mining in Production Lanza

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate alternative test achievement (graded):

• written elaboration (workload of at least 80 h) • oral presentation (approx. 30 min)

Prerequisites none

Annotation The number of students is limited to twelve. Dates and deadlines for the seminar will be announced at https://www.wbk.kit.edu/ studium-und-lehre.php.

Below you will find excerpts from events related to this course:

Seminar Data Mining in Production V Seminar (S) 2151643, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 664 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Data-Mining in Production [T-MACH-108737]

Content In the age of Industry 4.0, large amounts of production data are generated by the global production networks and value chains. Their analysis enables valuable conclusions about production and lead to an increasing process efficiency. The aim of the seminar is to get to know production data analysis as an important component of future industrial projects. The students get to know the data mining tool KNIME and use it for analyses. A specific industrial use case with real production data enables practical work and offers direct references to industrial applications. The participants learn selected methods of data mining and apply them to the production data. The work within the seminar takes place in small groups on the computer. Subsequently, presentations on specific data mining methods have to be prepared.

Learning Outcomes: The students …

• can name, describe and distinguish between different methods, procedures and techniques of production data analysis. • can perform basic data analyses with the data mining tool KNIME. • can analyze and evaluate the results of data analyses in the production environment. • are able to derive suitable recommendations for action. • are able to explain and apply the CRISP-DM model.

Workload: regular attendance: 10 hours self-study: 80 hours

Organizational issues Die Teilnehmerzahl ist auf zwölf Studierende begrenzt. Termine und Fristen zur Veranstaltung werden unter https:// www.wbk.kit.edu/studium-und-lehre.php bekanntgegeben. The number of students is limited to twelve. Dates and deadlines for the seminar will be announced at https://www.wbk.kit.edu/ studium-und-lehre.php.

Literature Medien: KNIME Analytics Platform

Media: KNIME Analytics Platform

Seminar Data Mining in Production V Seminar (S) 2151643, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content In the age of Industry 4.0, large amounts of production data are generated by the global production networks and value chains. Their analysis enables valuable conclusions about production and lead to an increasing process efficiency. The aim of the seminar is to get to know production data analysis as an important component of future industrial projects. The students get to know the data mining tool KNIME and use it for analyses. A specific industrial use case with real production data enables practical work and offers direct references to industrial applications. The participants learn selected methods of data mining and apply them to the production data. The work within the seminar takes place in small groups on the computer. Subsequently, presentations on specific data mining methods have to be prepared.

Learning Outcomes: The students …

• can name, describe and distinguish between different methods, procedures and techniques of production data analysis. • can perform basic data analyses with the data mining tool KNIME. • can analyze and evaluate the results of data analyses in the production environment. • are able to derive suitable recommendations for action. • are able to explain and apply the CRISP-DM model.

Workload: regular attendance: 10 hours self-study: 80 hours

Industrial Engineering and Management M.Sc. 665 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Data-Mining in Production [T-MACH-108737]

Organizational issues Die Teilnehmerzahl ist auf zwölf Studierende begrenzt. Termine und Fristen zur Veranstaltung werden unter https:// www.wbk.kit.edu/studium-und-lehre.php bekanntgegeben. The number of students is limited to twelve. Dates and deadlines for the seminar will be announced at https://www.wbk.kit.edu/ studium-und-lehre.php.

Literature Medien: KNIME Analytics Platform

Media: KNIME Analytics Platform

Industrial Engineering and Management M.Sc. 666 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

T 7.369 Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Responsible: Professorenschaft des Fachbereichs Betriebswirtschaftslehre Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2400121 Interactive Analytics Seminar 2 SWS / 🖥 Beigl, Mädche, Pescara ST 2021 2500007 Food Choice 2 SWS Seminar / 🖥 Seidler, Scheibehenne ST 2021 2500043 Collaborative Development of 3 SWS Seminar / 🖥 Mädche, Gnewuch Conversational Agents ST 2021 2500125 Current Topics in Digital 3 SWS Seminar / 🧩 Mädche Transformation Seminar

ST 2021 2530372 Advances in Financial Machine 2 SWS Seminar / 🖥 Ulrich Learning

ST 2021 2530580 Seminar in Finance (Master) - Seminar / 🖥 Uhrig-Homburg Corona crisis and the financial markets

ST 2021 2540472 Digital Citizen Science 2 SWS Seminar / 🖥 Weinhardt, Volkamer, Mayer, Knierim, Greif- Winzrieth, Mädche, Nieken, Scheibehenne, Szech, Woll

ST 2021 2540473 Business Data Analytics 2 SWS Seminar / 🖥 Dann, Stoeckel, Grote, Badewitz

ST 2021 2540475 Electronic Markets & User Behavior Seminar / 🖥 Knierim, Dann, Jaquart ST 2021 2540477 Digital Experience & Participation 2 SWS Seminar / 🖥 Peukert, Greif- Winzrieth

ST 2021 2540478 Smart Grid Economics & Energy 2 SWS Seminar / 🖥 Staudt, Huber, Richter, Markets vom Scheidt, Golla, Henni, Schmidt, Meinke, Qu

ST 2021 2540510 Master Seminar in Data Science and 2 SWS Seminar / 🖥 Geyer-Schulz Machine Learning

ST 2021 2540553 Interactive Analytics Seminar 2 SWS Seminar / 🖥 Mädche, Beigl, Toreini, Pescara

ST 2021 2540557 Information Systems and Service 3 SWS Seminar / 🖥 Mädche Design Seminar

ST 2021 2540559 Digital Service Design Seminar 3 SWS Seminar / 🖥 Mädche ST 2021 2540588 Economic Psychology in Action 2 SWS Seminar / 🖥 Liu ST 2021 2545002 Entrepreneurship Research 2 SWS Seminar / 🖥 Henn, Manthey, Terzidis

ST 2021 2550493 Hospital Management 2 SWS Block / 🖥 Hansis ST 2021 2571180 Seminar in Marketing und Vertrieb 2 SWS Seminar / 🖥 Klarmann, Mitarbeiter (Master)

ST 2021 2573012 Seminar Human Resource 2 SWS Seminar / 🖥 Nieken, Mitarbeiter Management (Master)

ST 2021 2573013 Seminar Human Resources and 2 SWS Seminar / 🖥 Nieken, Mitarbeiter Organizations (Master)

ST 2021 2579909 Seminar Management Accounting 2 SWS Seminar / 🖥 Wouters, Hammann, Disch

Industrial Engineering and Management M.Sc. 667 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

ST 2021 2579910 Entrepreneurial Strategy and 2 SWS Seminar / 🖥 Burkardt Financing of Start-Ups

ST 2021 2579919 Seminar in Management 2 SWS Seminar / 🖥 Ebinger Accounting - Special Topics

ST 2021 2581030 Seminar Energiewirtschaft IV 2 SWS Seminar / 🖥 Plötz ST 2021 2581977 Seminar Produktionswirtschaft und 2 SWS Seminar / 🖥 Volk, Schultmann Logistik II

ST 2021 2581980 Seminar Energiewirtschaft II 2 SWS Seminar / 🖥 Fichtner ST 2021 2581990 2 SWS Seminar / 🖥 Schultmann WT 21/22 2500019 Digital Citizen Science 2 SWS Seminar Mädche, Nieken WT 21/22 2500125 Current Topics in Digital 3 SWS Seminar / 🧩 Mädche Transformation Seminar WT 21/22 2530293 2 SWS Seminar Ruckes, Hoang, Benz, Strych, Luedecke, Silbereis, Wiegratz

WT 21/22 2530372 Advances in Financial Machine 2 SWS Seminar / 🖥 Ulrich Learning WT 21/22 2540473 Data Science in Service 2 SWS Seminar Stoeckel, Badewitz Management WT 21/22 2540475 Electronic Markets & User behavior 2 SWS Seminar Knierim, Jaquart WT 21/22 2540477 Digital Experience and Participation 2 SWS Seminar Peukert, Pusmaz, Fegert, Greif- Winzrieth, Hoffmann WT 21/22 2540478 Smart Grids and Energy Markets 2 SWS Seminar Dinther, Staudt, Richter, vom Scheidt, Golla, Schmidt, Henni WT 21/22 2540510 Masterseminar in Data Science and 2 SWS Seminar Geyer-Schulz, Nazemi, Machine Learning Schweizer WT 21/22 2540557 Information Systems and Design 2 SWS Seminar Mädche (ISSD) Seminar

WT 21/22 2545107 Methoden im 2 SWS Seminar / 🖥 Koch Innovationsmanagement

WT 21/22 2571180 Seminar in Marketing und Vertrieb 2 SWS Seminar / 🗣 Klarmann, Mitarbeiter (Bachelor) WT 21/22 2573012 Seminar Human Resource 2 SWS Seminar Nieken, Mitarbeiter Management (Master) WT 21/22 2573013 Seminar Human Resources and 2 SWS Seminar Nieken, Mitarbeiter Organizations (Master)

WT 21/22 2579910 Entrepreneurial Strategy and 2 SWS Seminar / 🖥 Burkardt Financing of Start-Ups WT 21/22 2579919 Seminar Management Accounting - 2 SWS Seminar Wouters, Ebinger Special Topics WT 21/22 2581030 Seminar Energiewirtschaft IV 2 SWS Seminar Dehler-Holland, Yilmaz, Fichtner, Britto WT 21/22 2581976 Seminar in Production and 2 SWS Seminar Glöser-Chahoud, Operations Management I Schultmann WT 21/22 2581977 Seminar in Production and 2 SWS Seminar Volk, Schultmann Operations Management II WT 21/22 2581978 Seminar in Production and 2 SWS Seminar Schultmann, Operations Management III Diehlmann, Klein

WT 21/22 2581980 2 SWS Seminar / 🖥 Fichtner, Fraunholz, Kraft, Zimmermann WT 21/22 2581981 2 SWS Seminar Ardone, Finck, Fichtner, Slednev Exams ST 2021 7500148 Proseminar: Practical Seminar: Interactive Analytics Beigl, Mädche ST 2021 7900008 Hospital Management Nickel

Industrial Engineering and Management M.Sc. 668 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

ST 2021 7900017 Innovationsprozesse analysieren & evaluieren Weissenberger-Eibl ST 2021 7900019 Master Seminar in Data Science and Machine Learning Geyer-Schulz ST 2021 7900036 Collaborative Development of Conversational Agents Mädche ST 2021 7900038 Seminar in Business Administration A (Master) - Design and Satzger Development of Innovative Explainable AI ST 2021 7900052 Entrepreneurship Research Terzidis ST 2021 7900055 Roadmapping Weissenberger-Eibl ST 2021 7900093 Seminar in Business Administration A Weinhardt ST 2021 7900101 Seminar Human Resource Management (Master) Nieken ST 2021 7900127 Seminar in Finance (Master) - Corona crisis and the financial markets Uhrig-Homburg ST 2021 7900179 Seminar in Business Administration A (Master) Weinhardt ST 2021 7900180 Seminar in Business Administration Weinhardt ST 2021 7900190 Current Topics in Digital Transformation Seminar Mädche ST 2021 7900214 Seminar Business Data Analytics (Master) Weinhardt ST 2021 7900219 Entrepreneurial Strategy and Financing of Start-Ups Lindstädt ST 2021 7900233 Seminar in Marketing and Sales Klarmann ST 2021 7900239 Economic Psychology in Action Scheibehenne ST 2021 7900244 Digital Service Design Seminar Mädche ST 2021 7900256 Seminar Electronic Markets & User Behavior Weinhardt ST 2021 7900261 Information Systems and Design (ISSD) Seminar Mädche ST 2021 7900265 Interactive Analytics Seminar Mädche ST 2021 7900284 Digital Transformation and Business Models Weissenberger-Eibl ST 2021 7900285 Seminar Digital Citizen Science Weinhardt ST 2021 7900288 Seminar Business Data Analytics Weinhardt ST 2021 7900323 Seminar in Business Administration A (Master) Scheibehenne ST 2021 7900372 Seminar Digital Citizen Science Weinhardt ST 2021 7900373 Data Science for the Industrial Internet of Things Satzger ST 2021 79-2579909-M Seminar Management Accounting (Master) Wouters ST 2021 79-2579919-M Seminar Management Accounting - Special Topics (Master) Wouters ST 2021 79-2579929-M Seminar Management Accounting - Entrepreneurship Topics (Master) Wouters ST 2021 792581030 Seminar in Business Administration (Bachelor) Plötz ST 2021 7981976 Seminar in Production and Operations Management I Schultmann ST 2021 7981977 Seminar in Production and Operations Management II Schultmann ST 2021 7981978 Seminar in Production and Operations Management III Schultmann ST 2021 7981979 Seminar Energy Economics I Fichtner ST 2021 7981980 Seminar Energy Economics II Fichtner ST 2021 7981981 Seminar Energy Economics III Fichtner WT 21/22 7900017 Seminar Smart Grid and Energy Markets Weinhardt WT 21/22 7900069 Current Topics in Digital Transformation Seminar Mädche WT 21/22 7900106 Hospital Management Nickel WT 21/22 7900184 Seminar in Finance (Master) Ruckes WT 21/22 7900203 Seminar in Finance Uhrig-Homburg WT 21/22 7900233 Information Systems and Design (ISSD) Seminar Mädche

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Industrial Engineering and Management M.Sc. 669 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Interactive Analytics Seminar V 2400121, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Providing new and innovative ways for interacting with data is becoming increasingly important. In this seminar, an interdisciplinary team of students engineers a running software prototype of an advanced interactive system leveraging state-of- the-art hardware and software focusing on an analytical use case. The seminar is carried out in cooperation between Teco/Chair of Pervasive Computing Systems (Prof. Beigl) and the Institute of Information Systems and Marketing (Research Group ISSD, Prof. Mädche). This seminar follows an interdisciplinary approach. Students the fields of computer science, information systems and industrial engineering work together in teams. Learning Objectives

• Explore and specify a data-driven interaction challenge • Suggest and evaluate different design solutions for addressing the identified problem • Build interactive analytics prototypes using advanced interaction concepts and pervasive computing technologies

Prerequisites Strong analytic abilities and profound skills in SQL as wells as Python and/or R are required. Literature Further literature will be made available in the seminar.

Organizational issues nach Vereinbarung

Collaborative Development of Conversational Agents V Seminar (S) 2500043, SS 2021, 3 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 670 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Content This course focuses on the design, development, deployment, and evaluation of conversational agents (e.g., chatbots or voice assistants) for a given problem domain (e.g., customer service, team collaboration). The aim of the course is to introduce conceptual and technical foundations of conversational agents, relevant theories of human-computer interaction, and design guidelines for different classes of conversational agents. In addition, the course will introduce the human-centered design approach adapted to the design of conversational agents, including several qualitative and quantitative evaluation approaches.

The entire course is held virtually with no physical meetings, providing a first experience for future workplace scenarios. The course is a joint offering together with Saarland University (Prof. Stefan Morana) and Technische Universität Dresden (Prof. Benedikt Brendel). Students will work collaboratively in virtual teams with students from the other universities (i.e., one student per university in one team). Each student team will iteratively design, develop, and evaluate a conversational agent using contemporary technology tools (e.g., Google Dialogflow, Microsoft Bot Framework, Rasa). The teams document their activities and results in a project report. The project report as well as the conversational agent prototype are the basis for the grading of the course.

The entire course is limited to 15 participants (5 per university) and requires a short registration. More details will be made available on our website. After completing this course, the course participants will be able to:

• explain conceptual and technical foundations of conversational agents • perform the human-centered design approach to design, develop, and evaluate a conversational agent • develop conversational agents using state-of-the-art tools and frameworks • apply qualitative and quantitative methods to evaluate conversational agent prototypes

Requirements

• Programming skills are beneficial • Experience or general interest in human-computer interaction • English communication skills

Literature Relevant literature will be made available in the seminar.

Advances in Financial Machine Learning V Seminar (S) 2530372, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. In this seminar we will apply modern machine learning techniques hands on to important computational risk and asset management problems. In particular we will use the state of the art Python programming language to implement investment related applications and/ or Finance 4.0 risk management solutions. In a bi-weekly schedule you and your supervisor will first learn and discuss important machine learning concepts and then apply it within a practical FinTech project to real-world data. As a prerequisite students should already have some basic Python and data science skills.

Organizational issues 14-tägig, tba

Literature Literatur wird in der ersten Vorlesung bekannt gegeben.

Master Seminar in Data Science and Machine Learning V Seminar (S) 2540510, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Information Systems and Service Design Seminar V Seminar (S) 2540557, SS 2021, 3 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 671 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Content With this seminar, we aim to provide students with the possibility to independently work on state-of-the-art research topics in addition to the knowledge gained in the lectures of the research group ISSD (Prof. Mädche). The research group “Information Systems & Service Design” (ISSD) headed by Prof. Mädche focuses in research, education, and innovation on designing interactive intelligent systems. It is positioned at the intersection of Information Systems and Human-Computer Interaction (HCI). In the seminar, participants will get deeper insights in a contemporary research topic in the field of information systems, specifically interactive intelligent systems.

The actual seminar topics will be derived from current research activities of the research group. Our research assistants offer a rich set of topics from our research clusters (digital experience and participation, intelligent enterprise systems, or digital services design & innovation). Students can select among these topics individually depending on their personal interests. The seminar is carried out in the form of a literature-based thesis project. In the seminar, students will acquire the important methodological skills of running a systematic literature review.

Learning Objectives

• focus on a contemporary topic at the intersection of Information Systems and Human-Computer Interaction (HCI), specifically interactive intelligent systems • carry out a structured literature search for a given topic • aggregate the collected information in a suitable way to present and extract knowledge • write a seminar thesis following academic writing standards • deliver a presentation in a scientific context in front of an auditorium

Prerequisites No specific prerequisites are required for the seminar.

Literature Further literature will be made available in the seminar.

Organizational issues Termine werden bekannt gegeben

Digital Service Design Seminar V Seminar (S) 2540559, SS 2021, 3 SWS, Language: English, Open in study portal Online

Content Description In this seminar, a team of students addresses a real-world design challenge of an IISM cooperation partner. Students learn and apply design methods, techniques, and tools to explore the problem and deliver a solution in the form of an innovative prototype

Learningobjectives The students

• explore a real-world digital service design challenge • understand the human-centered design process and apply selected design techniques & tools • deliver a digital service prototype as a potential solution for the challenge

Prerequisites No specific prerequisites are required for the seminar

Literature Further literature will be made available in the seminar.

Organizational issues Termine werden bekannt gegeben

Economic Psychology in Action V Seminar (S) 2540588, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 672 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Content Description This blocked event contains 3 stages. In Stage 1, students meet online for one day and experience recent economic psychology research as participants. The research topics will mainly consist of novel economic games with certain level of strategic depth (i.e., we will not play simple games like rock paper scissors, nor we will play games that many people are familiar with like the prisoner’s dilemma). In Stage 2, students will receive the data from the games they played in Stage 1 along with a few journal articles assigned by the instructor on related topics. Based on reading, they choose one of the datasets from Stage 1 to write up a short report. In Stage 3, students will try to design and conduct a study on a related topic themselves based on what they have learned in the previous stages. They will collect their own data and write a research report. The nature of this project is to be determined together by the students and instructor. It would either be ideas generated by the students themselves, or something assigned by the instructor. English will be the language used in all discussions, course materials, and assessments. Competence Certificate The assessment is based on the short report in Stage 2 and the research report in Stage 3. Workload Students are expected to spend a total of 90 hours (30 hours per ECTS), including meeting and assignments, on this seminar.

Organizational issues Blockveranstaltung, Temrine werden bekanntgegeben

Entrepreneurship Research V Seminar (S) 2545002, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues Block am 21.04., 05.05., 14.07.

Literature Wird im Seminar bekannt gegeben.

Hospital Management V Block (B) 2550493, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The seminar 'Hospital Management' presents internal organization structures, work conditions and work environments at the example of hospitals und relates this to common and expected conditions of other service industries. Covered topics include normative environment, intra-organizational structure, personnel management, quality, external networking and market appearance. The course consists of two full-day sessions. The assessment consists of attendance and a presentation or a case study.

Organizational issues von Montag, 17. Mai bis Samstag, 22. Mai jeweils von 7:30 bis 9:15 Uhr

Seminar Human Resource Management (Master) V Seminar (S) 2573012, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 673 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of Human Resource Management and Personnel Economics. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Geb. 05.20, Raum 2A-12.1, Termine werden bekannt gegeben

Seminar Human Resources and Organizations (Master) V Seminar (S) 2573013, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of human resources and organizations. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Geb. 05.20, Raum 2A-12.1, Termine werden bekannt gegeben

Seminar Management Accounting V Seminar (S) 2579909, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 674 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Content The course will be a mix of lectures, discussions, and student presentations. Students will write a paper in small groups, and present this in the final week. You are to a large extent free to select your own topic. The seminar course is concentrated in four meetings that are spread throughout the semester. Learning objectives:

• Students are largely independently able to identify a distinct topic in Management Accounting, • Students are capable to research the topic, analyze the information, to conceptualize and deduct fundamental principles and relationships from relatively unstructured information, • Students can afterwards logically and systematically present the results in writing and as an oral presentation, following a scientific approach (structuring, terminology, sources.

Workload:

• The total workload for this course is approximately 90 hours. For further information see German version.

Examination:

• The performance review is carried out in the form of a “Prüfungsleistung anderer Art” (following § 4 (2) No. 3 of the examination regulation), which in this case is an essay the seminar participants prepare in group work. • The final grade of the course is the grade awarded to the paper.

Note:

• Maximum of 16 students.

Organizational issues Geb.05.20, 2A-12.1; Termine werden bekannt gegeben

Literature Will be announced in the course.

Seminar in Management Accounting - Special Topics V Seminar (S) 2579919, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The course will be a mix of lectures, discussions, and student presentations. Students will write a paper in small groups, and present this in the final week. Topics are selectively prediscibed. The seminar course is concentrated in several meetings that are spread throughout the semester. Learning objectives:

• Students are largely independently able to identify a distinct topic in Management Accounting, • Students are capable to research the topic, analyze the information, to conceptualize and deduct fundamental principles and relationships from relatively unstructured information, • Students can afterwards logically and systematically present the results in writing and as an oral presentation, following a scientific approach (structuring, terminology, sources.

Workload:

• The total workload for this course is approximately 90 hours. For further information see German version.

Examination:

• The performance review is carried out in the form of a “Prüfungsleistung anderer Art” (following § 4 (2) No. 3 of the examination regulation), which in this case is an essay the seminar participants prepare in group work. • The final grade of the course is the grade awarded to the paper.

Note:

• Maximum of 16 students.

Organizational issues Geb.05.20, 2A-12.1; Termine werden bekannt gegeben

Literature Will be announced in the course.

Industrial Engineering and Management M.Sc. 675 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Digital Citizen Science V Seminar (S) 2500019, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Content Digital Citizen Science is an innovative approach to conduct field research - interactively and in the real world. Especially in times of social distancing measures essential questions about how private lives are changing are investigated. Who is experiencing more stress during HomeOffice hours? Who is flourishing while learning at home because flow is experienced more often? Which formats of digital cooperation are fostering social contacts and bonding? These and other questions that target the main topic: Well-being @Home are focused in these seminar projects. The seminar theses are supervised by academics from multiple institutes that are working together on the topic of Digital Citizen Science arbeiten. Involved are the research groups of Prof. Mädche, Prof. Nieken, Prof. Scheibehenne, Prof. Szech, Prof. Volkamer, Prof. Weinhardt and Prof. Woll.

Advances in Financial Machine Learning V Seminar (S) 2530372, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. In this seminar we will apply modern machine learning techniques hands on to important computational risk and asset management problems. In particular we will use the state of the art Python programming language to implement investment related applications and/ or Finance 4.0 risk management solutions. In a bi-weekly schedule you and your supervisor will first learn and discuss important machine learning concepts and then apply it within a practical FinTech project to real-world data. As a prerequisite students should already have some basic Python and data science skills.

Organizational issues 14-tägig, tba

Literature Literatur wird in der ersten Vorlesung bekannt gegeben.

Data Science in Service Management V Seminar (S) 2540473, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Content wird auf deutsch und englisch gehalten

Organizational issues Blockveranstaltung, siehe WWW

Masterseminar in Data Science and Machine Learning V Seminar (S) 2540510, WS 21/22, 2 SWS, Language: German, Open in study portal

Methoden im Innovationsmanagement V Seminar (S) 2545107, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content The seminar "Methods in Innovation Management" aims at the discussion and development of different methods for the structured generation of ideas in selected contexts. In a block seminar, methods and contexts are discussed, from which seminar topics are defined with the participants. These topics are to be worked on independently using methods and procedures. The results will be presented at a presentation date and then a written seminar paper will be prepared. This means that creativity methods and their combination will be presented and applied. The methods are worked on in a structured form and process-like sequence in order to clarify the advantages and disadvantages of different methods.

Literature Werden in der ersten Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 676 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Seminar Human Resource Management (Master) V Seminar (S) 2573012, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of Human Resource Management and Personnel Economics. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Blockveranstaltung siehe Homepage

Seminar Human Resources and Organizations (Master) V Seminar (S) 2573013, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of human resources and organizations. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Blockveranstaltung siehe Homepage

Seminar Management Accounting - Special Topics V Seminar (S) 2579919, WS 21/22, 2 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 677 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration A (Master) [T-WIWI-103474]

Content The course will be a mix of lectures, discussions, and student presentations. Students will write a paper in small groups, and present this in the final week. Topics are selectively prediscibed. The seminar course is concentrated in several meetings that are spread throughout the semester. Learning objectives:

• Students are largely independently able to identify a distinct topic in Management Accounting, • Students are capable to research the topic, analyze the information, to conceptualize and deduct fundamental principles and relationships from relatively unstructured information, • Students can afterwards logically and systematically present the results in writing and as an oral presentation, following a scientific approach (structuring, terminology, sources.

Examination:

• The performance review is carried out in the form of a “Prüfungsleistung anderer Art” (following § 4 (2) No. 3 of the examination regulation), which in this case is an essay the seminar participants prepare in group work. • The final grade of the course is the grade awarded to the paper.

Required prior Courses:

• The LV "Betriebswirtschaftslehre: Finanzwirtschaft und Rechnungswesen" (2600026) must have been completed before starting this seminar.

Workload:

• The total workload for this course is approximately 90 hours. For further information see German version.

Note:

• Maximum of 16 students.

Literature Will be announced in the course.

Industrial Engineering and Management M.Sc. 678 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

T 7.370 Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Responsible: Professorenschaft des Fachbereichs Betriebswirtschaftslehre Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2500007 Food Choice 2 SWS Seminar / 🖥 Seidler, Scheibehenne ST 2021 2500043 Collaborative Development of 3 SWS Seminar / 🖥 Mädche, Gnewuch Conversational Agents ST 2021 2500125 Current Topics in Digital 3 SWS Seminar / 🧩 Mädche Transformation Seminar

ST 2021 2530372 Advances in Financial Machine 2 SWS Seminar / 🖥 Ulrich Learning

ST 2021 2530580 Seminar in Finance (Master) - Seminar / 🖥 Uhrig-Homburg Corona crisis and the financial markets

ST 2021 2540472 Digital Citizen Science 2 SWS Seminar / 🖥 Weinhardt, Volkamer, Mayer, Knierim, Greif- Winzrieth, Mädche, Nieken, Scheibehenne, Szech, Woll

ST 2021 2540473 Business Data Analytics 2 SWS Seminar / 🖥 Dann, Stoeckel, Grote, Badewitz

ST 2021 2540475 Electronic Markets & User Behavior Seminar / 🖥 Knierim, Dann, Jaquart ST 2021 2540477 Digital Experience & Participation 2 SWS Seminar / 🖥 Peukert, Greif- Winzrieth

ST 2021 2540478 Smart Grid Economics & Energy 2 SWS Seminar / 🖥 Staudt, Huber, Richter, Markets vom Scheidt, Golla, Henni, Schmidt, Meinke, Qu

ST 2021 2540510 Master Seminar in Data Science and 2 SWS Seminar / 🖥 Geyer-Schulz Machine Learning

ST 2021 2540553 Interactive Analytics Seminar 2 SWS Seminar / 🖥 Mädche, Beigl, Toreini, Pescara

ST 2021 2540557 Information Systems and Service 3 SWS Seminar / 🖥 Mädche Design Seminar

ST 2021 2540559 Digital Service Design Seminar 3 SWS Seminar / 🖥 Mädche ST 2021 2540588 Economic Psychology in Action 2 SWS Seminar / 🖥 Liu ST 2021 2545002 Entrepreneurship Research 2 SWS Seminar / 🖥 Henn, Manthey, Terzidis

ST 2021 2550493 Hospital Management 2 SWS Block / 🖥 Hansis ST 2021 2571180 Seminar in Marketing und Vertrieb 2 SWS Seminar / 🖥 Klarmann, Mitarbeiter (Master)

ST 2021 2573012 Seminar Human Resource 2 SWS Seminar / 🖥 Nieken, Mitarbeiter Management (Master)

ST 2021 2573013 Seminar Human Resources and 2 SWS Seminar / 🖥 Nieken, Mitarbeiter Organizations (Master)

ST 2021 2579909 Seminar Management Accounting 2 SWS Seminar / 🖥 Wouters, Hammann, Disch

ST 2021 2579910 Entrepreneurial Strategy and 2 SWS Seminar / 🖥 Burkardt Financing of Start-Ups

Industrial Engineering and Management M.Sc. 679 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

ST 2021 2579919 Seminar in Management 2 SWS Seminar / 🖥 Ebinger Accounting - Special Topics

ST 2021 2581030 Seminar Energiewirtschaft IV 2 SWS Seminar / 🖥 Plötz ST 2021 2581977 Seminar Produktionswirtschaft und 2 SWS Seminar / 🖥 Volk, Schultmann Logistik II

ST 2021 2581980 Seminar Energiewirtschaft II 2 SWS Seminar / 🖥 Fichtner ST 2021 2581990 2 SWS Seminar / 🖥 Schultmann WT 21/22 2500019 Digital Citizen Science 2 SWS Seminar Mädche, Nieken WT 21/22 2500125 Current Topics in Digital 3 SWS Seminar / 🧩 Mädche Transformation Seminar WT 21/22 2530293 2 SWS Seminar Ruckes, Hoang, Benz, Strych, Luedecke, Silbereis, Wiegratz

WT 21/22 2530372 Advances in Financial Machine 2 SWS Seminar / 🖥 Ulrich Learning WT 21/22 2540473 Data Science in Service 2 SWS Seminar Stoeckel, Badewitz Management WT 21/22 2540475 Electronic Markets & User behavior 2 SWS Seminar Knierim, Jaquart WT 21/22 2540477 Digital Experience and Participation 2 SWS Seminar Peukert, Pusmaz, Fegert, Greif- Winzrieth, Hoffmann WT 21/22 2540478 Smart Grids and Energy Markets 2 SWS Seminar Dinther, Staudt, Richter, vom Scheidt, Golla, Schmidt, Henni WT 21/22 2540510 Masterseminar in Data Science and 2 SWS Seminar Geyer-Schulz, Nazemi, Machine Learning Schweizer WT 21/22 2540557 Information Systems and Design 2 SWS Seminar Mädche (ISSD) Seminar

WT 21/22 2545107 Methoden im 2 SWS Seminar / 🖥 Koch Innovationsmanagement

WT 21/22 2571180 Seminar in Marketing und Vertrieb 2 SWS Seminar / 🗣 Klarmann, Mitarbeiter (Bachelor) WT 21/22 2573012 Seminar Human Resource 2 SWS Seminar Nieken, Mitarbeiter Management (Master) WT 21/22 2573013 Seminar Human Resources and 2 SWS Seminar Nieken, Mitarbeiter Organizations (Master)

WT 21/22 2579910 Entrepreneurial Strategy and 2 SWS Seminar / 🖥 Burkardt Financing of Start-Ups WT 21/22 2579919 Seminar Management Accounting - 2 SWS Seminar Wouters, Ebinger Special Topics WT 21/22 2581030 Seminar Energiewirtschaft IV 2 SWS Seminar Dehler-Holland, Yilmaz, Fichtner, Britto WT 21/22 2581976 Seminar in Production and 2 SWS Seminar Glöser-Chahoud, Operations Management I Schultmann WT 21/22 2581977 Seminar in Production and 2 SWS Seminar Volk, Schultmann Operations Management II WT 21/22 2581978 Seminar in Production and 2 SWS Seminar Schultmann, Operations Management III Diehlmann, Klein

WT 21/22 2581980 2 SWS Seminar / 🖥 Fichtner, Fraunholz, Kraft, Zimmermann WT 21/22 2581981 2 SWS Seminar Ardone, Finck, Fichtner, Slednev Exams ST 2021 7900008 Hospital Management Nickel ST 2021 7900017 Innovationsprozesse analysieren & evaluieren Weissenberger-Eibl ST 2021 7900019 Master Seminar in Data Science and Machine Learning Geyer-Schulz

Industrial Engineering and Management M.Sc. 680 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

ST 2021 7900034 Seminar in Business Administration B (Master) - Design and Satzger Development of Innovative Explainable AI ST 2021 7900036 Collaborative Development of Conversational Agents Mädche ST 2021 7900052 Entrepreneurship Research Terzidis ST 2021 7900055 Roadmapping Weissenberger-Eibl ST 2021 7900093 Seminar in Business Administration A Weinhardt ST 2021 7900101 Seminar Human Resource Management (Master) Nieken ST 2021 7900127 Seminar in Finance (Master) - Corona crisis and the financial markets Uhrig-Homburg ST 2021 7900179 Seminar in Business Administration A (Master) Weinhardt ST 2021 7900180 Seminar in Business Administration Weinhardt ST 2021 7900190 Current Topics in Digital Transformation Seminar Mädche ST 2021 7900214 Seminar Business Data Analytics (Master) Weinhardt ST 2021 7900219 Entrepreneurial Strategy and Financing of Start-Ups Lindstädt ST 2021 7900233 Seminar in Marketing and Sales Klarmann ST 2021 7900239 Economic Psychology in Action Scheibehenne ST 2021 7900244 Digital Service Design Seminar Mädche ST 2021 7900256 Seminar Electronic Markets & User Behavior Weinhardt ST 2021 7900261 Information Systems and Design (ISSD) Seminar Mädche ST 2021 7900265 Interactive Analytics Seminar Mädche ST 2021 7900284 Digital Transformation and Business Models Weissenberger-Eibl ST 2021 7900285 Seminar Digital Citizen Science Weinhardt ST 2021 7900288 Seminar Business Data Analytics Weinhardt ST 2021 7900361 Seminar in Business Administration B (Master) Scheibehenne ST 2021 7900372 Seminar Digital Citizen Science Weinhardt ST 2021 7900373 Data Science for the Industrial Internet of Things Satzger ST 2021 79-2579909-M Seminar Management Accounting (Master) Wouters ST 2021 79-2579919-M Seminar Management Accounting - Special Topics (Master) Wouters ST 2021 79-2579929-M Seminar Management Accounting - Entrepreneurship Topics (Master) Wouters ST 2021 792581030 Seminar in Business Administration (Bachelor) Plötz ST 2021 7981976 Seminar in Production and Operations Management I Schultmann ST 2021 7981977 Seminar in Production and Operations Management II Schultmann ST 2021 7981978 Seminar in Production and Operations Management III Schultmann ST 2021 7981979 Seminar Energy Economics I Fichtner ST 2021 7981980 Seminar Energy Economics II Fichtner ST 2021 7981981 Seminar Energy Economics III Fichtner WT 21/22 7900017 Seminar Smart Grid and Energy Markets Weinhardt WT 21/22 7900069 Current Topics in Digital Transformation Seminar Mädche WT 21/22 7900106 Hospital Management Nickel WT 21/22 7900184 Seminar in Finance (Master) Ruckes WT 21/22 7900203 Seminar in Finance Uhrig-Homburg WT 21/22 7900233 Information Systems and Design (ISSD) Seminar Mädche

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Industrial Engineering and Management M.Sc. 681 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Collaborative Development of Conversational Agents V Seminar (S) 2500043, SS 2021, 3 SWS, Language: English, Open in study portal Online

Content This course focuses on the design, development, deployment, and evaluation of conversational agents (e.g., chatbots or voice assistants) for a given problem domain (e.g., customer service, team collaboration). The aim of the course is to introduce conceptual and technical foundations of conversational agents, relevant theories of human-computer interaction, and design guidelines for different classes of conversational agents. In addition, the course will introduce the human-centered design approach adapted to the design of conversational agents, including several qualitative and quantitative evaluation approaches.

The entire course is held virtually with no physical meetings, providing a first experience for future workplace scenarios. The course is a joint offering together with Saarland University (Prof. Stefan Morana) and Technische Universität Dresden (Prof. Benedikt Brendel). Students will work collaboratively in virtual teams with students from the other universities (i.e., one student per university in one team). Each student team will iteratively design, develop, and evaluate a conversational agent using contemporary technology tools (e.g., Google Dialogflow, Microsoft Bot Framework, Rasa). The teams document their activities and results in a project report. The project report as well as the conversational agent prototype are the basis for the grading of the course.

The entire course is limited to 15 participants (5 per university) and requires a short registration. More details will be made available on our website. After completing this course, the course participants will be able to:

• explain conceptual and technical foundations of conversational agents • perform the human-centered design approach to design, develop, and evaluate a conversational agent • develop conversational agents using state-of-the-art tools and frameworks • apply qualitative and quantitative methods to evaluate conversational agent prototypes

Requirements

• Programming skills are beneficial • Experience or general interest in human-computer interaction • English communication skills

Literature Relevant literature will be made available in the seminar.

Advances in Financial Machine Learning V Seminar (S) 2530372, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. In this seminar we will apply modern machine learning techniques hands on to important computational risk and asset management problems. In particular we will use the state of the art Python programming language to implement investment related applications and/ or Finance 4.0 risk management solutions. In a bi-weekly schedule you and your supervisor will first learn and discuss important machine learning concepts and then apply it within a practical FinTech project to real-world data. As a prerequisite students should already have some basic Python and data science skills.

Industrial Engineering and Management M.Sc. 682 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Organizational issues 14-tägig, tba

Literature Literatur wird in der ersten Vorlesung bekannt gegeben.

Master Seminar in Data Science and Machine Learning V Seminar (S) 2540510, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Information Systems and Service Design Seminar V Seminar (S) 2540557, SS 2021, 3 SWS, Language: English, Open in study portal Online

Content With this seminar, we aim to provide students with the possibility to independently work on state-of-the-art research topics in addition to the knowledge gained in the lectures of the research group ISSD (Prof. Mädche). The research group “Information Systems & Service Design” (ISSD) headed by Prof. Mädche focuses in research, education, and innovation on designing interactive intelligent systems. It is positioned at the intersection of Information Systems and Human-Computer Interaction (HCI). In the seminar, participants will get deeper insights in a contemporary research topic in the field of information systems, specifically interactive intelligent systems.

The actual seminar topics will be derived from current research activities of the research group. Our research assistants offer a rich set of topics from our research clusters (digital experience and participation, intelligent enterprise systems, or digital services design & innovation). Students can select among these topics individually depending on their personal interests. The seminar is carried out in the form of a literature-based thesis project. In the seminar, students will acquire the important methodological skills of running a systematic literature review.

Learning Objectives

• focus on a contemporary topic at the intersection of Information Systems and Human-Computer Interaction (HCI), specifically interactive intelligent systems • carry out a structured literature search for a given topic • aggregate the collected information in a suitable way to present and extract knowledge • write a seminar thesis following academic writing standards • deliver a presentation in a scientific context in front of an auditorium

Prerequisites No specific prerequisites are required for the seminar.

Literature Further literature will be made available in the seminar.

Organizational issues Termine werden bekannt gegeben

Digital Service Design Seminar V Seminar (S) 2540559, SS 2021, 3 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 683 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Content Description In this seminar, a team of students addresses a real-world design challenge of an IISM cooperation partner. Students learn and apply design methods, techniques, and tools to explore the problem and deliver a solution in the form of an innovative prototype

Learningobjectives The students

• explore a real-world digital service design challenge • understand the human-centered design process and apply selected design techniques & tools • deliver a digital service prototype as a potential solution for the challenge

Prerequisites No specific prerequisites are required for the seminar

Literature Further literature will be made available in the seminar.

Organizational issues Termine werden bekannt gegeben

Economic Psychology in Action V Seminar (S) 2540588, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Description This blocked event contains 3 stages. In Stage 1, students meet online for one day and experience recent economic psychology research as participants. The research topics will mainly consist of novel economic games with certain level of strategic depth (i.e., we will not play simple games like rock paper scissors, nor we will play games that many people are familiar with like the prisoner’s dilemma). In Stage 2, students will receive the data from the games they played in Stage 1 along with a few journal articles assigned by the instructor on related topics. Based on reading, they choose one of the datasets from Stage 1 to write up a short report. In Stage 3, students will try to design and conduct a study on a related topic themselves based on what they have learned in the previous stages. They will collect their own data and write a research report. The nature of this project is to be determined together by the students and instructor. It would either be ideas generated by the students themselves, or something assigned by the instructor. English will be the language used in all discussions, course materials, and assessments. Competence Certificate The assessment is based on the short report in Stage 2 and the research report in Stage 3. Workload Students are expected to spend a total of 90 hours (30 hours per ECTS), including meeting and assignments, on this seminar.

Organizational issues Blockveranstaltung, Temrine werden bekanntgegeben

Entrepreneurship Research V Seminar (S) 2545002, SS 2021, 2 SWS, Language: German, Open in study portal Online

Organizational issues Block am 21.04., 05.05., 14.07.

Literature Wird im Seminar bekannt gegeben.

Hospital Management V Block (B) 2550493, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 684 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Content The seminar 'Hospital Management' presents internal organization structures, work conditions and work environments at the example of hospitals und relates this to common and expected conditions of other service industries. Covered topics include normative environment, intra-organizational structure, personnel management, quality, external networking and market appearance. The course consists of two full-day sessions. The assessment consists of attendance and a presentation or a case study.

Organizational issues von Montag, 17. Mai bis Samstag, 22. Mai jeweils von 7:30 bis 9:15 Uhr

Seminar Human Resource Management (Master) V Seminar (S) 2573012, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of Human Resource Management and Personnel Economics. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Geb. 05.20, Raum 2A-12.1, Termine werden bekannt gegeben

Seminar Human Resources and Organizations (Master) V Seminar (S) 2573013, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of human resources and organizations. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Industrial Engineering and Management M.Sc. 685 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Organizational issues Geb. 05.20, Raum 2A-12.1, Termine werden bekannt gegeben

Seminar Management Accounting V Seminar (S) 2579909, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The course will be a mix of lectures, discussions, and student presentations. Students will write a paper in small groups, and present this in the final week. You are to a large extent free to select your own topic. The seminar course is concentrated in four meetings that are spread throughout the semester. Learning objectives:

• Students are largely independently able to identify a distinct topic in Management Accounting, • Students are capable to research the topic, analyze the information, to conceptualize and deduct fundamental principles and relationships from relatively unstructured information, • Students can afterwards logically and systematically present the results in writing and as an oral presentation, following a scientific approach (structuring, terminology, sources.

Workload:

• The total workload for this course is approximately 90 hours. For further information see German version.

Examination:

• The performance review is carried out in the form of a “Prüfungsleistung anderer Art” (following § 4 (2) No. 3 of the examination regulation), which in this case is an essay the seminar participants prepare in group work. • The final grade of the course is the grade awarded to the paper.

Note:

• Maximum of 16 students.

Organizational issues Geb.05.20, 2A-12.1; Termine werden bekannt gegeben

Literature Will be announced in the course.

Seminar in Management Accounting - Special Topics V Seminar (S) 2579919, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content The course will be a mix of lectures, discussions, and student presentations. Students will write a paper in small groups, and present this in the final week. Topics are selectively prediscibed. The seminar course is concentrated in several meetings that are spread throughout the semester. Learning objectives:

• Students are largely independently able to identify a distinct topic in Management Accounting, • Students are capable to research the topic, analyze the information, to conceptualize and deduct fundamental principles and relationships from relatively unstructured information, • Students can afterwards logically and systematically present the results in writing and as an oral presentation, following a scientific approach (structuring, terminology, sources.

Workload:

• The total workload for this course is approximately 90 hours. For further information see German version.

Examination:

• The performance review is carried out in the form of a “Prüfungsleistung anderer Art” (following § 4 (2) No. 3 of the examination regulation), which in this case is an essay the seminar participants prepare in group work. • The final grade of the course is the grade awarded to the paper.

Note:

• Maximum of 16 students.

Industrial Engineering and Management M.Sc. 686 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Organizational issues Geb.05.20, 2A-12.1; Termine werden bekannt gegeben

Literature Will be announced in the course.

Digital Citizen Science V Seminar (S) 2500019, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Content Digital Citizen Science is an innovative approach to conduct field research - interactively and in the real world. Especially in times of social distancing measures essential questions about how private lives are changing are investigated. Who is experiencing more stress during HomeOffice hours? Who is flourishing while learning at home because flow is experienced more often? Which formats of digital cooperation are fostering social contacts and bonding? These and other questions that target the main topic: Well-being @Home are focused in these seminar projects. The seminar theses are supervised by academics from multiple institutes that are working together on the topic of Digital Citizen Science arbeiten. Involved are the research groups of Prof. Mädche, Prof. Nieken, Prof. Scheibehenne, Prof. Szech, Prof. Volkamer, Prof. Weinhardt and Prof. Woll.

Advances in Financial Machine Learning V Seminar (S) 2530372, WS 21/22, 2 SWS, Language: English, Open in study portal Online

Content Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. In this seminar we will apply modern machine learning techniques hands on to important computational risk and asset management problems. In particular we will use the state of the art Python programming language to implement investment related applications and/ or Finance 4.0 risk management solutions. In a bi-weekly schedule you and your supervisor will first learn and discuss important machine learning concepts and then apply it within a practical FinTech project to real-world data. As a prerequisite students should already have some basic Python and data science skills.

Organizational issues 14-tägig, tba

Literature Literatur wird in der ersten Vorlesung bekannt gegeben.

Data Science in Service Management V Seminar (S) 2540473, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Content wird auf deutsch und englisch gehalten

Organizational issues Blockveranstaltung, siehe WWW

Masterseminar in Data Science and Machine Learning V Seminar (S) 2540510, WS 21/22, 2 SWS, Language: German, Open in study portal

Methoden im Innovationsmanagement V Seminar (S) 2545107, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content The seminar "Methods in Innovation Management" aims at the discussion and development of different methods for the structured generation of ideas in selected contexts. In a block seminar, methods and contexts are discussed, from which seminar topics are defined with the participants. These topics are to be worked on independently using methods and procedures. The results will be presented at a presentation date and then a written seminar paper will be prepared. This means that creativity methods and their combination will be presented and applied. The methods are worked on in a structured form and process-like sequence in order to clarify the advantages and disadvantages of different methods.

Industrial Engineering and Management M.Sc. 687 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Literature Werden in der ersten Veranstaltung bekannt gegeben.

Seminar Human Resource Management (Master) V Seminar (S) 2573012, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of Human Resource Management and Personnel Economics. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Blockveranstaltung siehe Homepage

Seminar Human Resources and Organizations (Master) V Seminar (S) 2573013, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The topics are redefined each semester on basis of current research topics. The topics will be announced on the website of the Wiwi-Portal.

Aim The student

• looks critically into current research topics in the fields of human resources and organizations. • trains his / her presentation skills. • learns to get his / her ideas and insights across in a focused and concise way, both in oral and written form, and to sum up the crucial facts. • cultivates the discussion of research approaches.

Workload The total workload for this course is: approximately 90 hours. Lecture: 30h Preparation of lecture: 45h Exam preparation: 15h Literature Selected journal articles and books.

Organizational issues Blockveranstaltung siehe Homepage

Seminar Management Accounting - Special Topics V Seminar (S) 2579919, WS 21/22, 2 SWS, Language: English, Open in study portal

Industrial Engineering and Management M.Sc. 688 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Business Administration B (Master) [T-WIWI-103476]

Content The course will be a mix of lectures, discussions, and student presentations. Students will write a paper in small groups, and present this in the final week. Topics are selectively prediscibed. The seminar course is concentrated in several meetings that are spread throughout the semester. Learning objectives:

• Students are largely independently able to identify a distinct topic in Management Accounting, • Students are capable to research the topic, analyze the information, to conceptualize and deduct fundamental principles and relationships from relatively unstructured information, • Students can afterwards logically and systematically present the results in writing and as an oral presentation, following a scientific approach (structuring, terminology, sources.

Examination:

• The performance review is carried out in the form of a “Prüfungsleistung anderer Art” (following § 4 (2) No. 3 of the examination regulation), which in this case is an essay the seminar participants prepare in group work. • The final grade of the course is the grade awarded to the paper.

Required prior Courses:

• The LV "Betriebswirtschaftslehre: Finanzwirtschaft und Rechnungswesen" (2600026) must have been completed before starting this seminar.

Workload:

• The total workload for this course is approximately 90 hours. For further information see German version.

Note:

• Maximum of 16 students.

Literature Will be announced in the course.

Industrial Engineering and Management M.Sc. 689 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economic Policy [T-WIWI-102789]

T 7.371 Course: Seminar in Economic Policy [T-WIWI-102789]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: M-WIWI-101514 - Innovation Economics

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Exams ST 2021 7900051 Seminar in Economic Policy Ott

Competence Certificate The assessment is carried out through a term paper within the range of 12 to 15 pages, a presentation of the results of the work in a seminar meeting, and active participation in the discussions of the seminar meeting (§ 4 (2), 3 SPO).

The final grade is composed of the weighted scored examinations (Essay 50%, 40% oral presentation, active participation 10%).

Prerequisites None

Recommendation At least one of the lectures "Theory of Endogenous Growth" or "Innovation Theory and Policy" should be attended in advance, if possible.

Industrial Engineering and Management M.Sc. 690 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economics A (Master) [T-WIWI-103478]

T 7.372 Course: Seminar in Economics A (Master) [T-WIWI-103478]

Responsible: Professorenschaft des Fachbereichs Volkswirtschaftslehre Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2500004 Introduction to Statistical Machine 2 SWS Seminar / 🖥 Schienle, Lerch Learning

ST 2021 2521310 Advanced Topics in Econometrics 2 SWS Seminar / 🖥 Schienle, Krüger, Görgen, Koster

ST 2021 2560233 Seminar zur Luftverkehrspoltik Seminar / 🖥 Mitusch, Wisotzky ST 2021 2560282 Wirtschaftspolitisches Seminar 2 SWS Seminar / 🖥 Ott, Assistenten ST 2021 2560552 Overcoming the Corona Crisis, 2 SWS Seminar / 🖥 Szech, Zhao Seminar Morals and Social Behavior (Master)

ST 2021 2560555 Markets for Attention and the 2 SWS Seminar / 🖥 Szech, Huber Digital Economy Seminar on Topics in Political Economy (Bachelor)

ST 2021 2560556 Social Preferences in Behavioral Seminar / 🖥 Szech, Rau Economics /„Seminar on Topics in Political Economy“ WT 21/22 2560142 Disruption and the Digital Economy 2 SWS Seminar Szech, Huber, Rosar - Topics in Political Economy (Master) WT 21/22 2560143 Overcoming the Corona Crisis - 2 SWS Seminar Szech, Zhao, Huber Morals & Social Behavior (Master) WT 21/22 2560282 Wirtschaftspolitisches Seminar 2 SWS Seminar Ott, Assistenten WT 21/22 2561208 Selected aspects of European 1 SWS Seminar Szimba transport planning and -modelling Exams ST 2021 7900033 Introduction to Statistical Machine Learning Schienle ST 2021 7900051 Seminar in Economic Policy Ott ST 2021 7900059 Markets for Attention and the Digital Economy (Master) Szech ST 2021 7900065 Seminar in Macroeconomics I Brumm ST 2021 7900131 Overcoming the Corona Crisis (Master) Szech ST 2021 7900221 Seminar in Macroeconomics II Brumm ST 2021 7900248 Social Preferences in Behavioral Economics Szech ST 2021 7900272 Do Groups Make Better Decisions? The "Wisdom of the Crowd" in Puppe Theory and Practice ST 2021 7900282 Digital IT-Solutions and Services Transforming the Field of Public Mitusch Transportation ST 2021 7900364 Seminar zur Luftverkehrspolitik Mitusch ST 2021 7900366 Seminar Strategic Decisions (Master) Ehrhart ST 2021 79sefi2 Seminar Death, Mistake & Fraud in Science A (Master) Wigger WT 21/22 7900139 Seminar in Economics (Bachelor/Master) Mitusch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 691 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economics A (Master) [T-WIWI-103478]

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Introduction to Statistical Machine Learning V Seminar (S) 2500004, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Advanced Topics in Econometrics V Seminar (S) 2521310, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Overcoming the Corona Crisis, Seminar Morals and Social Behavior (Master) V Seminar (S) 2560552, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Participation will be limited to 12 students.

Organizational issues Blockveranstaltung

Markets for Attention and the Digital Economy Seminar on Topics in Political Economy Seminar (S) V (Bachelor) Online 2560555, SS 2021, 2 SWS, Language: English, Open in study portal

Content For Bachelor students of the fields Industrial Engineering and Management, Information Engineering and Management, Economics Engineering or Economathematics. Objective: The student develops an own idea for an economic experiment in this research direction. Students work in groups. Changing topics each semester. For current topics, see http://polit.econ.kit.edu or https://portal.wiwi.kit.edu/Seminare The acceptance of students for the seminar is based on preferences and suitability for the topics. This includes theoretical and practical experience with Behavioral Economics as well as English skills. Seminar Papers of 8–10 pages are to be handed in. Recommendation: Knowledge in the field of experimental economic research or behavioral economics as well as in the field of microeconomics and game theory may be helpful.

Industrial Engineering and Management M.Sc. 692 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economics A (Master) [T-WIWI-103478]

Organizational issues Blockveranstaltung

Disruption and the Digital Economy - Topics in Political Economy (Master) V Seminar (S) 2560142, WS 21/22, 2 SWS, Language: English, Open in study portal

Content For Master students of the fields Industrial Engineering and Management, Information Engineering and Management, Economics Engineering or Economathematics. Objective: The student develops an own idea for an economic experiment in this research direction. Students work in groups. Changing topics each semester. For current topics, see http://polit.econ.kit.edu or https://portal.wiwi.kit.edu/Seminare Seminar Papers of 8–10 pages are to be handed in. Recommendation: Knowledge in the field of experimental economic research or behavioral economics as well as in the field of microeconomics and game theory may be helpful.

Overcoming the Corona Crisis - Morals & Social Behavior (Master) V Seminar (S) 2560143, WS 21/22, 2 SWS, Language: English, Open in study portal

Content For Master students of the fields Industrial Engineering and Management, Information Engineering and Management, Economics Engineering or Economathematics. The student develops an own idea for an economic experiment in this research direction. Students work in groups. Changing topics each semester. For current topics, see http://polit.econ.kit.edu or https://portal.wiwi.kit.edu/Seminare Seminar Papers of 8–10 pages are to be handed in. Recommendation: Knowledge in the field of experimental economic research or behavioral economics as well as in the field of microeconomics and game theory may be helpful.

Organizational issues Application is possible via https://portal.wiwi.kit.edu/Seminare

Industrial Engineering and Management M.Sc. 693 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economics B (Master) [T-WIWI-103477]

T 7.373 Course: Seminar in Economics B (Master) [T-WIWI-103477]

Responsible: Professorenschaft des Fachbereichs Volkswirtschaftslehre Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2500004 Introduction to Statistical Machine 2 SWS Seminar / 🖥 Schienle, Lerch Learning

ST 2021 2521310 Advanced Topics in Econometrics 2 SWS Seminar / 🖥 Schienle, Krüger, Görgen, Koster

ST 2021 2560233 Seminar zur Luftverkehrspoltik Seminar / 🖥 Mitusch, Wisotzky ST 2021 2560282 Wirtschaftspolitisches Seminar 2 SWS Seminar / 🖥 Ott, Assistenten ST 2021 2560552 Overcoming the Corona Crisis, 2 SWS Seminar / 🖥 Szech, Zhao Seminar Morals and Social Behavior (Master)

ST 2021 2560555 Markets for Attention and the 2 SWS Seminar / 🖥 Szech, Huber Digital Economy Seminar on Topics in Political Economy (Bachelor)

ST 2021 2560556 Social Preferences in Behavioral Seminar / 🖥 Szech, Rau Economics /„Seminar on Topics in Political Economy“ WT 21/22 2560142 Disruption and the Digital Economy 2 SWS Seminar Szech, Huber, Rosar - Topics in Political Economy (Master) WT 21/22 2560282 Wirtschaftspolitisches Seminar 2 SWS Seminar Ott, Assistenten WT 21/22 2561208 Selected aspects of European 1 SWS Seminar Szimba transport planning and -modelling Exams ST 2021 7900033 Introduction to Statistical Machine Learning Schienle ST 2021 7900051 Seminar in Economic Policy Ott ST 2021 7900059 Markets for Attention and the Digital Economy (Master) Szech ST 2021 7900065 Seminar in Macroeconomics I Brumm ST 2021 7900131 Overcoming the Corona Crisis (Master) Szech ST 2021 7900221 Seminar in Macroeconomics II Brumm ST 2021 7900248 Social Preferences in Behavioral Economics Szech ST 2021 7900272 Do Groups Make Better Decisions? The "Wisdom of the Crowd" in Puppe Theory and Practice ST 2021 7900282 Digital IT-Solutions and Services Transforming the Field of Public Mitusch Transportation ST 2021 7900364 Seminar zur Luftverkehrspolitik Mitusch ST 2021 7900367 Seminar Strategic Decisions B (Master) Ehrhart ST 2021 79sefi3 Seminar Death, Mistake & Fraud in Science B (Master) Wigger WT 21/22 7900281 Seminar in Economics B (Master), Seminar in Economics A (Bachelor) Mitusch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 694 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economics B (Master) [T-WIWI-103477]

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Introduction to Statistical Machine Learning V Seminar (S) 2500004, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Advanced Topics in Econometrics V Seminar (S) 2521310, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Overcoming the Corona Crisis, Seminar Morals and Social Behavior (Master) V Seminar (S) 2560552, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Participation will be limited to 12 students.

Organizational issues Blockveranstaltung

Markets for Attention and the Digital Economy Seminar on Topics in Political Economy Seminar (S) V (Bachelor) Online 2560555, SS 2021, 2 SWS, Language: English, Open in study portal

Content For Bachelor students of the fields Industrial Engineering and Management, Information Engineering and Management, Economics Engineering or Economathematics. Objective: The student develops an own idea for an economic experiment in this research direction. Students work in groups. Changing topics each semester. For current topics, see http://polit.econ.kit.edu or https://portal.wiwi.kit.edu/Seminare The acceptance of students for the seminar is based on preferences and suitability for the topics. This includes theoretical and practical experience with Behavioral Economics as well as English skills. Seminar Papers of 8–10 pages are to be handed in. Recommendation: Knowledge in the field of experimental economic research or behavioral economics as well as in the field of microeconomics and game theory may be helpful.

Industrial Engineering and Management M.Sc. 695 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Economics B (Master) [T-WIWI-103477]

Organizational issues Blockveranstaltung

Disruption and the Digital Economy - Topics in Political Economy (Master) V Seminar (S) 2560142, WS 21/22, 2 SWS, Language: English, Open in study portal

Content For Master students of the fields Industrial Engineering and Management, Information Engineering and Management, Economics Engineering or Economathematics. Objective: The student develops an own idea for an economic experiment in this research direction. Students work in groups. Changing topics each semester. For current topics, see http://polit.econ.kit.edu or https://portal.wiwi.kit.edu/Seminare Seminar Papers of 8–10 pages are to be handed in. Recommendation: Knowledge in the field of experimental economic research or behavioral economics as well as in the field of microeconomics and game theory may be helpful.

Industrial Engineering and Management M.Sc. 696 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Engineering Science Master (approval) [T-WIWI-108763]

T 7.374 Course: Seminar in Engineering Science Master (approval) [T-WIWI-108763]

Responsible: Fachvertreter ingenieurwissenschaftlicher Fakultäten Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events ST 2021 2119100 Fördertechnik und Seminar / 🧩 Furmans, Pagani Logistiksysteme

WT 21/22 2115009 Seminar for Rail System 1 SWS Seminar / 🖥 Gratzfeld, Tesar, Technology Geimer WT 21/22 2119100 Fördertechnik und Seminar / 🧩 Furmans, Pagani Logistiksysteme Exams ST 2021 7311633 Seminar Creating a Patent Specification Stork ST 2021 76-T-MACH-102135 Conveying Technology and Logistics Furmans ST 2021 76-T-MACH-2115009 Seminar for Rail System Technology Gratzfeld, Geimer WT 21/22 76-T-MACH-102135 Conveying Technology and Logistics Furmans WT 21/22 76-T-MACH-2115009 Seminar for Rail System Technology Gratzfeld, Geimer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate See German version.

Prerequisites See module description.

Recommendation None

Below you will find excerpts from events related to this course:

Fördertechnik und Logistiksysteme V Seminar (S) 2119100, SS 2021, SWS, Open in study portal Blended (On-Site/Online)

Content The goal of the seminar is to deal with different topics related to the materials handling and logistics. The students can work on the topic either alone or in a group work. At the end the results are presented and discussed with a final presentation. The prepare the work for the seminar an introductory event is scheduled at the beginning.

Organizational issues Ort: Gebäude 50.38, Raum 0.22, Termine siehe homepage

Seminar for Rail System Technology V Seminar (S) 2115009, WS 21/22, 1 SWS, Language: German/English, Open in study portal Online

Industrial Engineering and Management M.Sc. 697 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Engineering Science Master (approval) [T-WIWI-108763]

Content

• Railway system: railway as system, subsystems and interdependencies, definitions, laws, rules, railway and environment, economic impact, history, challenges and future developments in the context of mega trends • Operation: Transportation, public/regional/long-distance transport, freight service, scheduling • System structure of railway vehicles: Tasks and classification, main systems • Project management: definitions, project management, main and side processes, transfer to practice • Scientific working: structuring and writing of scientific papers, literature research, scheduling (mile stones), self- management, presentation skills, using the software Citavi for literature and knowledge management, working with templates in Word, giving and taking feedback • The learnt knowledge regarding scientific writing is used to elaborate a Seminararbeit. To this the students create a presentation, train and reflect it and finally present it to an auditorium.

Organizational issues Teilnehmerzahl ist auf 10 begrenzt. Die Prüfung besteht aus einer schriftlichen Ausarbeitung (Seminararbeit) und einem Vortrag über die Ausarbeitung. Weitere Infos siehe Institutshomepage. Max. 10 participants. Examination: Writing a Seminararbeit, final presentation. Please check the homepage for further information.

Literature Eine Literaturliste steht den Studierenden auf der Ilias-Plattform zum Download zur Verfügung. A bibliography is available for download (Ilias-platform).

Industrial Engineering and Management M.Sc. 698 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics A (Master) [T-WIWI-103479]

T 7.375 Course: Seminar in Informatics A (Master) [T-WIWI-103479]

Responsible: Professorenschaft des Instituts AIFB Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events ST 2021 2513211 Seminar Business Information 2 SWS Seminar / 🧩 Oberweis, Fritsch, Systems (Master) Frister, Schreiber, Schüler, Ullrich

ST 2021 2513309 Seminar Knowledge Discovery and 3 SWS Seminar / 🖥 Färber, Nguyen, Data Mining (Master) Noullet, Saier, Bartscherer

ST 2021 2513311 Seminar Data Science & Real-time 2 SWS Seminar / 🖥 Färber, Riemer, Big Data Analytics (Master) Heyden , Käfer

ST 2021 2513403 Seminar Emerging Trends in 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Internet Technologies (Master)

ST 2021 2513405 Seminar Emerging Trends in Digital 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Health (Master)

ST 2021 2513500 Cognitive Automobiles and Robots 2 SWS Seminar / 🖥 Zöllner WT 21/22 2400125 Security and Privacy Awareness 2 SWS Seminar Boehm, Seidel-Saul, Volkamer, Aldag WT 21/22 2513313 Seminar Linked Data and the 3 SWS Seminar Färber, Käfer Semantic Web (Master) WT 21/22 2513314 Seminar Real-World Challenges in 3 SWS Nickel, Weinhardt, Data Science and Analytics Färber, Brandt, (Bachelor) Kulbach WT 21/22 2513315 Seminar Real-World Challenges in 3 SWS Nickel, Weinhardt, Data Science and Analytics (Master) Färber, Brandt, Kulbach WT 21/22 2513500 Seminar Cognitive Automobiles and 2 SWS Seminar Zöllner, Daaboul Robots (Master) WT 21/22 2513605 Seminar Representation Learning 2 SWS Seminar / 🧩 Sack, Alam, Biswas on Knowledge Graphs (Master) Exams ST 2021 7900043 Seminar in Informatics A (Master) - Design and Development of Satzger Innovative Explainable AI ST 2021 7900088 Seminar Business Information Systems (Master) Oberweis ST 2021 7900128 Seminar Emerging Trends in Internet Technologies (Master) Sunyaev ST 2021 7900146 Seminar Emerging Trends in Digital Health (Master) Sunyaev ST 2021 7900147 Cognitive Automobiles and Robots Zöllner ST 2021 7900198 Seminar Data Science & Real-time Big Data Analytics (Master) Färber ST 2021 7900202 Seminar Knowledge Discovery and Data Mining (Master) Sure-Vetter ST 2021 7900246 Seminar Advanced Methods in Natural Language Processing: Sack Metaphors WT 21/22 7900094 Seminar Selected Issues in Critical Information Infrastructures Sunyaev (Master) WT 21/22 7900102 Advanced Lab Information Service Engineering Sack WT 21/22 7900119 Seminar Cognitive Automobiles and Robots Zöllner WT 21/22 7900129 Security and Privacy Awareness Volkamer WT 21/22 7900304 Seminar Linked Data and the Semantic Web (Master) Färber

Industrial Engineering and Management M.Sc. 699 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics A (Master) [T-WIWI-103479]

WT 21/22 7900305 Seminar Representation Learning on Knowledge Graphs (Master) Sack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation Placeholder for seminars offered by the Institute AIFB. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Seminar Knowledge Discovery and Data Mining (Master) V Seminar (S) 2513309, SS 2021, 3 SWS, Language: English, Open in study portal Online

Content In this seminar different machine learning and data mining methods are implemented. The seminar includes different methods of machine learning and data mining. Participants of the seminar should have basic knowledge of machine learning and programming skills. Domains of interest include, but are not limited to:

• Medicine • Social Media • Finance Market

The exact dates and information for registration will be announced at the event page.

Organizational issues Die Anmeldung erfolgt über das WiWi Portal https://portal.wiwi.kit.edu/. Für weitere Fragen bezüglich des Seminar und der behandelten Themen wenden Sie sich bitte an die entsprechenden Verantwortlichen.

Literature Detaillierte Referenzen werden zusammen mit den jeweiligenThemen angegeben. Allgemeine Hintergrundinformationen ergeben sich z.B.aus den folgenden Lehrbüchern:

• Mitchell, T.; Machine Learning • McGraw Hill, Cook, D.J. and Holder, L.B. (Editors) Mining Graph Data, ISBN:0-471-73190-0 • Wiley, Manning, C. and Schütze, H.; Foundations of Statistical NLP, MIT Press, 1999.

Seminar Data Science & Real-time Big Data Analytics (Master) V Seminar (S) 2513311, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 700 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics A (Master) [T-WIWI-103479]

Content In this seminar, students will design applications in teams that use meaningful and creative Event Processing methods. Thereby, students have access to an existing record. Event processing and real-time data are everywhere: financial market data, sensors, business intelligence, social media analytics, logistics. Many applications collect large volumes of data in real time and are increasingly faced with the challenge of being able to process them quickly and react promptly. The challenges of this real-time processing are currently also receiving a great deal of attention under the term "Big Data". The complex processing of real-time data requires both knowledge of methods for data analysis (data science) and their processing (real-time analytics). Seminar papers are offered on both of these areas as well as on interface topics, the input of own ideas is explicitly desired. Further information to the practical seminar is given under the following Link: http://seminar-cep.fzi.de Questions are answered via the e-mail address [email protected].

Organizational issues Further information as well as the registration form can be found under the following link: http://seminar-cep.fzi.de Questions are answered via the e-mail address [email protected].

Cognitive Automobiles and Robots V Seminar (S) 2513500, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Content The seminar is intended as a theoretical supplement to lectures such as "Machine Learning". The theoretical basics will be deepened in the seminar. The aim of the seminar is that the participants work individually to analyze a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and theoretical evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles for theoretical analysis. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning Workload: The workload of 3 credit points consists of the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Security and Privacy Awareness V Seminar (S) 2400125, WS 21/22, 2 SWS, Open in study portal

Industrial Engineering and Management M.Sc. 701 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics A (Master) [T-WIWI-103479]

Content Within the framework of this interdisciplinary seminar, the topics security awareness and privacy awareness are to be considered from different perspectives. It deals with legal, information technology, psychological, social as well as philosophical aspects. Note: The link to enrol is for every student, regardless of the study background! Dates:

• Kick-Off : 22.10.21, 14:00 o'clock • Final version: 23.01.2022 • Presentation: 04.02.2022, 13:00 o'clock

Topics will be assigned after the enrolment deadline, before the Kick-Off. Consider that legal focused topics require you to speak and understand german legal texts. Topics:

• Phishing for Difference: How Does Phishing Impact Visually-Impaired Users? • Wann wird Marketing im Security-Kontext ethisch bedenklich? • Untersuchung der Wahrnehmung von (technischen) Backdoors zur Strafverfolgung. • Data-Governance-Act – Fluch oder Segen für den Datenschutz? • Würde lieber kein Thema anbieten, notfalls "Was ist der Wert von Privatheit?" • Massenüberwachung von Kommunikationsknotenpunkten und Chilling Effects -- Eine rechtliche und ethische Auseinandersetzung • Verletzt algorithmische Analyse von personenbezogenen Daten durch KI Privatheit -- und wenn ja, wie schlimm ist das?

ATTENTION: The seminar is only for MASTER students!

Seminar Linked Data and the Semantic Web (Master) V Seminar (S) 2513313, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content Linked Data is a way of publishing data on the web in a machine-understandable fashion. The aim of this practical seminar is to build applications and devise algorithms that consume, provide, or analyse Linked Data. The Linked Data principles are a set of practices for data publishing on the web. Linked Data builds on the web architecture and uses HTTP for data access, and RDF for describing data, thus aiming towards web-scale data integration. There is a vast amount of data available published according to those principles: recently, 4.5 billion facts have been counted with information about various domains, including music, movies, geography, natural sciences. Linked Data is also used to make web-pages machine- understandable, corresponding annotations are considered by the big search engine providers. On a smaller scale, devices on the Internet of Things can also be accessed using Linked Data which makes the unified processing of device data and data from the web easy.

In this practical seminar, students will build prototypical applications and devise algorithms that consume, provide, or analyse Linked Data. Those applications and algorithms can also extend existing applications ranging from databases to mobile apps.

For the seminar, programming skills or knowledge about web development tools/technologies are highly recommended. Basic knowledge of RDF and SPARQL are also recommended, but may be acquired during the seminar. Students will work in groups. Seminar meetings will take place as 'Block-Seminar'. Topics of interest include, but are not limited to:

• Travel Security • Geo data • Linked News • Social Media

The exact dates and information for registration will be announced at the event page.

Seminar Real-World Challenges in Data Science and Analytics (Bachelor) V 2513314, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content In the seminar, various Real-World Challenges in Data Science and Analytics will be worked on. During this seminar, groups of students work on a case challenge with data provided. Here, the typical process of a data science project is depicted: integration of data, analysis of these, modeling of the decisions and visualization of the results. During the seminar, solution concepts are worked out, implemented as a software solution and presented in an intermediate and final presentation. The seminar "Real-World Challenges in Data Science and Analytics" is aimed at students in master's programs. The exact dates and information for registration will be announced at the course page.

Industrial Engineering and Management M.Sc. 702 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics A (Master) [T-WIWI-103479]

Seminar Real-World Challenges in Data Science and Analytics (Master) V 2513315, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content In the seminar, various Real-World Challenges in Data Science and Analytics will be worked on. During this seminar, groups of students work on a case challenge with data provided. Here, the typical process of a data science project is depicted: integration of data, analysis of these, modeling of the decisions and visualization of the results. During the seminar, solution concepts are worked out, implemented as a software solution and presented in an intermediate and final presentation. The seminar "Real-World Challenges in Data Science and Analytics" is aimed at students in master's programs. The exact dates and information for registration will be announced at the course page.

Seminar Cognitive Automobiles and Robots (Master) V Seminar (S) 2513500, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Content The seminar is intended as a theoretical supplement to lectures such as "Machine Learning". The theoretical basics will be deepened in the seminar. The aim of the seminar is that the participants work individually to analyze a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and theoretical evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles for theoretical analysis. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning Workload: The workload of 3 credit points consists of the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Seminar Representation Learning on Knowledge Graphs (Master) V Seminar (S) 2513605, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 703 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics A (Master) [T-WIWI-103479]

Content Data representation or feature representation plays a key role in the performance of machine learning algorithms. In recent years, rapid growth has been observed in Representation Learning (RL) of words and Knowledge Graphs (KG) into low dimensional vector spaces and its applications to many real-world scenarios. Word embeddings are a low dimensional vector representation of words that are capable of capturing the context of a word in a document, semantic similarity as well as its relation with other words. Similarly, KG embeddings are a low dimensional vector representation of entities and relations from a KG preserving its inherent structure and capturing the semantic similarity between the entities. KG representation learning algorithms (a.k.a. KG embedding models ) could be either unimodal where a single source is used or multimodal where multiple sources are explored. The sources of information could be relations between entities, text literals, numeric literals, images, and etc. It is important to capture the information present in each of these sources in order to learn representations which are rich in semantics. Multimodal KG embeddings learn either multiple representations simultaneously based on each source of information in a non-unified space or learn a single representation for each element of the KG in a unified space. Representation of entities and relations learnt using both unimodal and multimodal KG embedding models could be used in various downstream applications such as clustering, classification, and so on. On the other hand, language models such as BERT, ELMo, GPT, etc. learn the probability of word occurrence based on text corpus and learn representation of words in a low- dimensional embedding space. Representation of the words generated by the language models are often used for various KG completion tasks such as link prediction, entity classification, and so on. In this seminar, we would like to study the different state of the art algorithms for multimodal embeddings, applications of KG embeddings, or the use of language models for KG representation. Contributions of the students: Each student will be assigned 1 paper on the topic. The student will have to

1. give a seminar presentation, 2. write a seminar report paper of 15 pages explaining the method from the assigned paper, in their own words, and 3. implementation. If code is available from the authors, then re-implementation of it for small scale experiments using Google Colab or make it available via GitHub.

Industrial Engineering and Management M.Sc. 704 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics B (Master) [T-WIWI-103480]

T 7.376 Course: Seminar in Informatics B (Master) [T-WIWI-103480]

Responsible: Professorenschaft des Instituts AIFB Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events ST 2021 2513211 Seminar Business Information 2 SWS Seminar / 🧩 Oberweis, Fritsch, Systems (Master) Frister, Schreiber, Schüler, Ullrich

ST 2021 2513309 Seminar Knowledge Discovery and 3 SWS Seminar / 🖥 Färber, Nguyen, Data Mining (Master) Noullet, Saier, Bartscherer

ST 2021 2513311 Seminar Data Science & Real-time 2 SWS Seminar / 🖥 Färber, Riemer, Big Data Analytics (Master) Heyden , Käfer

ST 2021 2513403 Seminar Emerging Trends in 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Internet Technologies (Master)

ST 2021 2513405 Seminar Emerging Trends in Digital 2 SWS Seminar / 🖥 Lins, Sunyaev, Thiebes Health (Master)

ST 2021 2513500 Cognitive Automobiles and Robots 2 SWS Seminar / 🖥 Zöllner WT 21/22 2400125 Security and Privacy Awareness 2 SWS Seminar Boehm, Seidel-Saul, Volkamer, Aldag WT 21/22 2513313 Seminar Linked Data and the 3 SWS Seminar Färber, Käfer Semantic Web (Master) WT 21/22 2513314 Seminar Real-World Challenges in 3 SWS Nickel, Weinhardt, Data Science and Analytics Färber, Brandt, (Bachelor) Kulbach WT 21/22 2513315 Seminar Real-World Challenges in 3 SWS Nickel, Weinhardt, Data Science and Analytics (Master) Färber, Brandt, Kulbach WT 21/22 2513500 Seminar Cognitive Automobiles and 2 SWS Seminar Zöllner, Daaboul Robots (Master) WT 21/22 2513605 Seminar Representation Learning 2 SWS Seminar / 🧩 Sack, Alam, Biswas on Knowledge Graphs (Master) Exams ST 2021 7900044 Seminar in Informatics B (Master) - Design and Development of Satzger Innovative Explainable AI ST 2021 7900088 Seminar Business Information Systems (Master) Oberweis ST 2021 7900128 Seminar Emerging Trends in Internet Technologies (Master) Sunyaev ST 2021 7900146 Seminar Emerging Trends in Digital Health (Master) Sunyaev ST 2021 7900147 Cognitive Automobiles and Robots Zöllner ST 2021 7900198 Seminar Data Science & Real-time Big Data Analytics (Master) Färber ST 2021 7900202 Seminar Knowledge Discovery and Data Mining (Master) Sure-Vetter ST 2021 7900246 Seminar Advanced Methods in Natural Language Processing: Sack Metaphors WT 21/22 7500220 Seminar Ubiquitous Computing Beigl WT 21/22 7900094 Seminar Selected Issues in Critical Information Infrastructures Sunyaev (Master) WT 21/22 7900119 Seminar Cognitive Automobiles and Robots Zöllner WT 21/22 7900129 Security and Privacy Awareness Volkamer WT 21/22 7900304 Seminar Linked Data and the Semantic Web (Master) Färber

Industrial Engineering and Management M.Sc. 705 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics B (Master) [T-WIWI-103480]

WT 21/22 7900305 Seminar Representation Learning on Knowledge Graphs (Master) Sack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation Placeholder for seminars offered by the Institute AIFB. The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Seminar Knowledge Discovery and Data Mining (Master) V Seminar (S) 2513309, SS 2021, 3 SWS, Language: English, Open in study portal Online

Content In this seminar different machine learning and data mining methods are implemented. The seminar includes different methods of machine learning and data mining. Participants of the seminar should have basic knowledge of machine learning and programming skills. Domains of interest include, but are not limited to:

• Medicine • Social Media • Finance Market

The exact dates and information for registration will be announced at the event page.

Organizational issues Die Anmeldung erfolgt über das WiWi Portal https://portal.wiwi.kit.edu/. Für weitere Fragen bezüglich des Seminar und der behandelten Themen wenden Sie sich bitte an die entsprechenden Verantwortlichen.

Literature Detaillierte Referenzen werden zusammen mit den jeweiligenThemen angegeben. Allgemeine Hintergrundinformationen ergeben sich z.B.aus den folgenden Lehrbüchern:

• Mitchell, T.; Machine Learning • McGraw Hill, Cook, D.J. and Holder, L.B. (Editors) Mining Graph Data, ISBN:0-471-73190-0 • Wiley, Manning, C. and Schütze, H.; Foundations of Statistical NLP, MIT Press, 1999.

Seminar Data Science & Real-time Big Data Analytics (Master) V Seminar (S) 2513311, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 706 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics B (Master) [T-WIWI-103480]

Content In this seminar, students will design applications in teams that use meaningful and creative Event Processing methods. Thereby, students have access to an existing record. Event processing and real-time data are everywhere: financial market data, sensors, business intelligence, social media analytics, logistics. Many applications collect large volumes of data in real time and are increasingly faced with the challenge of being able to process them quickly and react promptly. The challenges of this real-time processing are currently also receiving a great deal of attention under the term "Big Data". The complex processing of real-time data requires both knowledge of methods for data analysis (data science) and their processing (real-time analytics). Seminar papers are offered on both of these areas as well as on interface topics, the input of own ideas is explicitly desired. Further information to the practical seminar is given under the following Link: http://seminar-cep.fzi.de Questions are answered via the e-mail address [email protected].

Organizational issues Further information as well as the registration form can be found under the following link: http://seminar-cep.fzi.de Questions are answered via the e-mail address [email protected].

Cognitive Automobiles and Robots V Seminar (S) 2513500, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Content The seminar is intended as a theoretical supplement to lectures such as "Machine Learning". The theoretical basics will be deepened in the seminar. The aim of the seminar is that the participants work individually to analyze a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and theoretical evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles for theoretical analysis. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning Workload: The workload of 3 credit points consists of the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Security and Privacy Awareness V Seminar (S) 2400125, WS 21/22, 2 SWS, Open in study portal

Industrial Engineering and Management M.Sc. 707 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics B (Master) [T-WIWI-103480]

Content Within the framework of this interdisciplinary seminar, the topics security awareness and privacy awareness are to be considered from different perspectives. It deals with legal, information technology, psychological, social as well as philosophical aspects. Note: The link to enrol is for every student, regardless of the study background! Dates:

• Kick-Off : 22.10.21, 14:00 o'clock • Final version: 23.01.2022 • Presentation: 04.02.2022, 13:00 o'clock

Topics will be assigned after the enrolment deadline, before the Kick-Off. Consider that legal focused topics require you to speak and understand german legal texts. Topics:

• Phishing for Difference: How Does Phishing Impact Visually-Impaired Users? • Wann wird Marketing im Security-Kontext ethisch bedenklich? • Untersuchung der Wahrnehmung von (technischen) Backdoors zur Strafverfolgung. • Data-Governance-Act – Fluch oder Segen für den Datenschutz? • Würde lieber kein Thema anbieten, notfalls "Was ist der Wert von Privatheit?" • Massenüberwachung von Kommunikationsknotenpunkten und Chilling Effects -- Eine rechtliche und ethische Auseinandersetzung • Verletzt algorithmische Analyse von personenbezogenen Daten durch KI Privatheit -- und wenn ja, wie schlimm ist das?

ATTENTION: The seminar is only for MASTER students!

Seminar Linked Data and the Semantic Web (Master) V Seminar (S) 2513313, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content Linked Data is a way of publishing data on the web in a machine-understandable fashion. The aim of this practical seminar is to build applications and devise algorithms that consume, provide, or analyse Linked Data. The Linked Data principles are a set of practices for data publishing on the web. Linked Data builds on the web architecture and uses HTTP for data access, and RDF for describing data, thus aiming towards web-scale data integration. There is a vast amount of data available published according to those principles: recently, 4.5 billion facts have been counted with information about various domains, including music, movies, geography, natural sciences. Linked Data is also used to make web-pages machine- understandable, corresponding annotations are considered by the big search engine providers. On a smaller scale, devices on the Internet of Things can also be accessed using Linked Data which makes the unified processing of device data and data from the web easy.

In this practical seminar, students will build prototypical applications and devise algorithms that consume, provide, or analyse Linked Data. Those applications and algorithms can also extend existing applications ranging from databases to mobile apps.

For the seminar, programming skills or knowledge about web development tools/technologies are highly recommended. Basic knowledge of RDF and SPARQL are also recommended, but may be acquired during the seminar. Students will work in groups. Seminar meetings will take place as 'Block-Seminar'. Topics of interest include, but are not limited to:

• Travel Security • Geo data • Linked News • Social Media

The exact dates and information for registration will be announced at the event page.

Seminar Real-World Challenges in Data Science and Analytics (Bachelor) V 2513314, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content In the seminar, various Real-World Challenges in Data Science and Analytics will be worked on. During this seminar, groups of students work on a case challenge with data provided. Here, the typical process of a data science project is depicted: integration of data, analysis of these, modeling of the decisions and visualization of the results. During the seminar, solution concepts are worked out, implemented as a software solution and presented in an intermediate and final presentation. The seminar "Real-World Challenges in Data Science and Analytics" is aimed at students in master's programs. The exact dates and information for registration will be announced at the course page.

Industrial Engineering and Management M.Sc. 708 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics B (Master) [T-WIWI-103480]

Seminar Real-World Challenges in Data Science and Analytics (Master) V 2513315, WS 21/22, 3 SWS, Language: German/English, Open in study portal

Content In the seminar, various Real-World Challenges in Data Science and Analytics will be worked on. During this seminar, groups of students work on a case challenge with data provided. Here, the typical process of a data science project is depicted: integration of data, analysis of these, modeling of the decisions and visualization of the results. During the seminar, solution concepts are worked out, implemented as a software solution and presented in an intermediate and final presentation. The seminar "Real-World Challenges in Data Science and Analytics" is aimed at students in master's programs. The exact dates and information for registration will be announced at the course page.

Seminar Cognitive Automobiles and Robots (Master) V Seminar (S) 2513500, WS 21/22, 2 SWS, Language: German/English, Open in study portal

Content The seminar is intended as a theoretical supplement to lectures such as "Machine Learning". The theoretical basics will be deepened in the seminar. The aim of the seminar is that the participants work individually to analyze a subsystem from the field of robotics and cognitive systems using one or more procedures from the field of AI/ML. The individual projects require the analysis of the task at hand, selection of suitable procedures, specification and theoretical evaluation of the approach taken. Finally, the chosen solution has to be documented and presented in a short presentation. Learning objectives:

• Students can apply knowledge from the Machine Learning lecture in a selected field of current research in robotics or cognitive automobiles for theoretical analysis. • Students can evaluate, document and present their concepts and results.

Recommendations: Attendance of the lecture machine learning Workload: The workload of 3 credit points consists of the time spent on literature research and planning/specifying the proposed solution. In addition, a short report and a presentation of the work carried out will be prepared.

Organizational issues Anmeldung und weitere Informationen sind im Wiwi-Portal zu finden. Registration and further information can be found in the WiWi-portal.

Seminar Representation Learning on Knowledge Graphs (Master) V Seminar (S) 2513605, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 709 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Informatics B (Master) [T-WIWI-103480]

Content Data representation or feature representation plays a key role in the performance of machine learning algorithms. In recent years, rapid growth has been observed in Representation Learning (RL) of words and Knowledge Graphs (KG) into low dimensional vector spaces and its applications to many real-world scenarios. Word embeddings are a low dimensional vector representation of words that are capable of capturing the context of a word in a document, semantic similarity as well as its relation with other words. Similarly, KG embeddings are a low dimensional vector representation of entities and relations from a KG preserving its inherent structure and capturing the semantic similarity between the entities. KG representation learning algorithms (a.k.a. KG embedding models ) could be either unimodal where a single source is used or multimodal where multiple sources are explored. The sources of information could be relations between entities, text literals, numeric literals, images, and etc. It is important to capture the information present in each of these sources in order to learn representations which are rich in semantics. Multimodal KG embeddings learn either multiple representations simultaneously based on each source of information in a non-unified space or learn a single representation for each element of the KG in a unified space. Representation of entities and relations learnt using both unimodal and multimodal KG embedding models could be used in various downstream applications such as clustering, classification, and so on. On the other hand, language models such as BERT, ELMo, GPT, etc. learn the probability of word occurrence based on text corpus and learn representation of words in a low- dimensional embedding space. Representation of the words generated by the language models are often used for various KG completion tasks such as link prediction, entity classification, and so on. In this seminar, we would like to study the different state of the art algorithms for multimodal embeddings, applications of KG embeddings, or the use of language models for KG representation. Contributions of the students: Each student will be assigned 1 paper on the topic. The student will have to

1. give a seminar presentation, 2. write a seminar report paper of 15 pages explaining the method from the assigned paper, in their own words, and 3. implementation. If code is available from the authors, then re-implementation of it for small scale experiments using Google Colab or make it available via GitHub.

Industrial Engineering and Management M.Sc. 710 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Operations Research A (Master) [T-WIWI-103481]

T 7.377 Course: Seminar in Operations Research A (Master) [T-WIWI-103481]

Responsible: Prof. Dr. Stefan Nickel Prof. Dr. Steffen Rebennack Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2550132 Seminar zur Mathematischen 2 SWS Seminar / 🖥 Stein, Beck, Neumann, Optimierung (MA) Schwarze

ST 2021 2550473 Seminar on Power Systems 2 SWS Seminar / 🖥 Rebennack, Optimization (Master) Warwicker, Sinske

ST 2021 2550491 Seminar: Modern OR and 2 SWS Seminar / 🖥 Nickel, Mitarbeiter Innovative Logistics WT 21/22 2550131 Seminar on Methodical Foundations 2 SWS Seminar Stein, Beck, Neumann, of Operations Research (B) Schwarze WT 21/22 2550491 Seminar: Modern OR and 2 SWS Seminar Nickel, Mitarbeiter Innovative Logistics Exams ST 2021 7900017_SS2021 Seminar in Operations Research (Bachelor) Stein ST 2021 7900018_SS2021 Seminar in Operations Research A (Master) Stein ST 2021 7900271 Digitization in the Steel Industry Nickel ST 2021 7900331 Seminar in Operations Research A (Master) Nickel ST 2021 7900348 Seminar on Power Systems Optimization (Master) Rebennack

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Seminar: Modern OR and Innovative Logistics V Seminar (S) 2550491, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 711 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Operations Research A (Master) [T-WIWI-103481]

Content The seminar aims at the presentation, critical evaluation and exemplary discussion of recent questions in discrete optimization. The focus lies on optimization models and algorithms, also with regard to their applicability in practical cases (especially in Supply Chain and Health Care Management). The students get in touch with scientific working: The in-depth work with a special scientific topic makes the students familiar with scientific literature research and argumentation methods. As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the seminar topic. Regarding the seminar presentations, the students will be familiarized with basic presentational and rhetoric skills. The topics of the seminar will be announced at the beginning of the term in a preliminary meeting. Attendance is compulsory for the preliminary meeting as well for all seminar presentations. Exam: The assessment consists of a written seminar thesis of 20-25 pages and a presentation of 35-40 minutes (according to §4(2), 3 of the examination regulation). The final mark for the seminar consists of the seminar thesis, the seminar presentation, the handout, and if applicable further material such as programming code. The seminar can be attended both by Bachelor and Master students. A differentiation will be achieved by different valuation standards for the seminar thesis and presentation. Requirements: If possible, at least one module of the institute should be taken before attending the seminar. Objectives: The student

• illustrates and evaluates classic and current research questions in discrete optimization, • applies optimization models and algorithms in discrete optimization, also with regard to their applicability in practical cases (especially in Supply Chain and Health Care Management), • successfully gets in touch with scientific working by an in-depth working on a special scientific topic which makes the student familiar with scientific literature research and argumentation methods, • acquires good rhetorical and presentation skills.

As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the seminar topic.

Organizational issues wird auf der Homepage dol.ior.kit.edu bzw. auf dem WiWi-Portal bekannt gegeben

Literature Die Literatur und die relevanten Quellen werden zu Beginn des Seminars bekannt gegeben.

Seminar on Methodical Foundations of Operations Research (B) V Seminar (S) 2550131, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The seminar aims at describing, evaluating, and discussing recent as well as classical topics in continuous optimization. The focus is on the treatment of optimization models and algorithms, also with respect to their practical application. Bachelor studenst are introduced to the style of scientific work. By focussed treatment of a scientific topic they deal with the basics of scientific investigation and reasoning. For further development of a scientific work style, master students are particularly expected to critically question the seminar topics. With regard to the oral presentations the students become acquainted with presentation techniques and basics of scientifc reasoning. Also rethoric abilities may be improved. Remarks: Attendance at all oral presentations is compulsory. Preferably at least one module offered by the Institute of Operations Research should have been chosen before attending this seminar. Assessment: The assessment is composed of a 15-20 page paper as well as a 40-60 minute oral presentation according to §4(2), 3 of the examination regulation.The grade is composed of the equally weighted assessments of the paper and the oral presentation. The seminar is appropriate for bachelor as well as for master students. Their differentiation results from different assessment criteria for the seminar paper and the oral presentation. Workload: The total workload for this course is approximately 90 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 712 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Operations Research A (Master) [T-WIWI-103481]

Literature Die Literaur und die relevanten Quellen werden gegen Ende des vorausgehenden Semesters im Wiwi-Portal und in einer Seminarvorbesprechung bekannt gegeben. References and relevant sources are announced at the end of the preceding semester in the Wiwi-Portal and in a prepatory meeting.

Seminar: Modern OR and Innovative Logistics V Seminar (S) 2550491, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The seminar aims at the presentation, critical evaluation and exemplary discussion of recent questions in discrete optimization. The focus lies on optimization models and algorithms, also with regard to their applicability in practical cases (especially in Supply Chain and Health Care Management). The students get in touch with scientific working: The in-depth work with a special scientific topic makes the students familiar with scientific literature research and argumentation methods. As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the seminar topic. Regarding the seminar presentations, the students will be familiarized with basic presentational and rhetoric skills.

Organizational issues wird auf der Homepage bekannt gegeben

Literature Die Literatur und die relevanten Quellen werden zu Beginn des Seminars bekannt gegeben.

Industrial Engineering and Management M.Sc. 713 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Operations Research B (Master) [T-WIWI-103482]

T 7.378 Course: Seminar in Operations Research B (Master) [T-WIWI-103482]

Responsible: Prof. Dr. Stefan Nickel Prof. Dr. Steffen Rebennack Prof. Dr. Oliver Stein Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2550132 Seminar zur Mathematischen 2 SWS Seminar / 🖥 Stein, Beck, Neumann, Optimierung (MA) Schwarze

ST 2021 2550473 Seminar on Power Systems 2 SWS Seminar / 🖥 Rebennack, Optimization (Master) Warwicker, Sinske

ST 2021 2550491 Seminar: Modern OR and 2 SWS Seminar / 🖥 Nickel, Mitarbeiter Innovative Logistics WT 21/22 2550131 Seminar on Methodical Foundations 2 SWS Seminar Stein, Beck, Neumann, of Operations Research (B) Schwarze WT 21/22 2550491 Seminar: Modern OR and 2 SWS Seminar Nickel, Mitarbeiter Innovative Logistics Exams ST 2021 7900017_SS2021 Seminar in Operations Research (Bachelor) Stein ST 2021 7900018_SS2021 Seminar in Operations Research A (Master) Stein ST 2021 7900271 Digitization in the Steel Industry Nickel

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Seminar: Modern OR and Innovative Logistics V Seminar (S) 2550491, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 714 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Operations Research B (Master) [T-WIWI-103482]

Content The seminar aims at the presentation, critical evaluation and exemplary discussion of recent questions in discrete optimization. The focus lies on optimization models and algorithms, also with regard to their applicability in practical cases (especially in Supply Chain and Health Care Management). The students get in touch with scientific working: The in-depth work with a special scientific topic makes the students familiar with scientific literature research and argumentation methods. As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the seminar topic. Regarding the seminar presentations, the students will be familiarized with basic presentational and rhetoric skills. The topics of the seminar will be announced at the beginning of the term in a preliminary meeting. Attendance is compulsory for the preliminary meeting as well for all seminar presentations. Exam: The assessment consists of a written seminar thesis of 20-25 pages and a presentation of 35-40 minutes (according to §4(2), 3 of the examination regulation). The final mark for the seminar consists of the seminar thesis, the seminar presentation, the handout, and if applicable further material such as programming code. The seminar can be attended both by Bachelor and Master students. A differentiation will be achieved by different valuation standards for the seminar thesis and presentation. Requirements: If possible, at least one module of the institute should be taken before attending the seminar. Objectives: The student

• illustrates and evaluates classic and current research questions in discrete optimization, • applies optimization models and algorithms in discrete optimization, also with regard to their applicability in practical cases (especially in Supply Chain and Health Care Management), • successfully gets in touch with scientific working by an in-depth working on a special scientific topic which makes the student familiar with scientific literature research and argumentation methods, • acquires good rhetorical and presentation skills.

As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the seminar topic.

Organizational issues wird auf der Homepage dol.ior.kit.edu bzw. auf dem WiWi-Portal bekannt gegeben

Literature Die Literatur und die relevanten Quellen werden zu Beginn des Seminars bekannt gegeben.

Seminar on Methodical Foundations of Operations Research (B) V Seminar (S) 2550131, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The seminar aims at describing, evaluating, and discussing recent as well as classical topics in continuous optimization. The focus is on the treatment of optimization models and algorithms, also with respect to their practical application. Bachelor studenst are introduced to the style of scientific work. By focussed treatment of a scientific topic they deal with the basics of scientific investigation and reasoning. For further development of a scientific work style, master students are particularly expected to critically question the seminar topics. With regard to the oral presentations the students become acquainted with presentation techniques and basics of scientifc reasoning. Also rethoric abilities may be improved. Remarks: Attendance at all oral presentations is compulsory. Preferably at least one module offered by the Institute of Operations Research should have been chosen before attending this seminar. Assessment: The assessment is composed of a 15-20 page paper as well as a 40-60 minute oral presentation according to §4(2), 3 of the examination regulation.The grade is composed of the equally weighted assessments of the paper and the oral presentation. The seminar is appropriate for bachelor as well as for master students. Their differentiation results from different assessment criteria for the seminar paper and the oral presentation. Workload: The total workload for this course is approximately 90 hours. For further information see German version.

Industrial Engineering and Management M.Sc. 715 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Operations Research B (Master) [T-WIWI-103482]

Literature Die Literaur und die relevanten Quellen werden gegen Ende des vorausgehenden Semesters im Wiwi-Portal und in einer Seminarvorbesprechung bekannt gegeben. References and relevant sources are announced at the end of the preceding semester in the Wiwi-Portal and in a prepatory meeting.

Seminar: Modern OR and Innovative Logistics V Seminar (S) 2550491, WS 21/22, 2 SWS, Language: German, Open in study portal

Content The seminar aims at the presentation, critical evaluation and exemplary discussion of recent questions in discrete optimization. The focus lies on optimization models and algorithms, also with regard to their applicability in practical cases (especially in Supply Chain and Health Care Management). The students get in touch with scientific working: The in-depth work with a special scientific topic makes the students familiar with scientific literature research and argumentation methods. As a further aspect of scientific work, especially for Master students the emphasis is put on a critical discussion of the seminar topic. Regarding the seminar presentations, the students will be familiarized with basic presentational and rhetoric skills.

Organizational issues wird auf der Homepage bekannt gegeben

Literature Die Literatur und die relevanten Quellen werden zu Beginn des Seminars bekannt gegeben.

Industrial Engineering and Management M.Sc. 716 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Statistics A (Master) [T-WIWI-103483]

T 7.379 Course: Seminar in Statistics A (Master) [T-WIWI-103483]

Responsible: Prof. Dr. Oliver Grothe Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2500004 Introduction to Statistical Machine 2 SWS Seminar / 🖥 Schienle, Lerch Learning

ST 2021 2521310 Advanced Topics in Econometrics 2 SWS Seminar / 🖥 Schienle, Krüger, Görgen, Koster

ST 2021 2550561 Spezielle fortgeschrittene Themen 2 SWS Seminar / 🖥 Grothe, Kaplan, der Datenanalyse und Statistik Kächele Exams ST 2021 7900033 Introduction to Statistical Machine Learning Schienle ST 2021 7900250 Data Mining and Applications (Projectseminar) Nakhaeizadeh

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Introduction to Statistical Machine Learning V Seminar (S) 2500004, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Advanced Topics in Econometrics V Seminar (S) 2521310, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Industrial Engineering and Management M.Sc. 717 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Statistics B (Master) [T-WIWI-103484]

T 7.380 Course: Seminar in Statistics B (Master) [T-WIWI-103484]

Responsible: Prof. Dr. Oliver Grothe Prof. Dr. Melanie Schienle Organisation: KIT Department of Economics and Management Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2500004 Introduction to Statistical Machine 2 SWS Seminar / 🖥 Schienle, Lerch Learning

ST 2021 2521310 Advanced Topics in Econometrics 2 SWS Seminar / 🖥 Schienle, Krüger, Görgen, Koster

ST 2021 2550561 Spezielle fortgeschrittene Themen 2 SWS Seminar / 🖥 Grothe, Kaplan, der Datenanalyse und Statistik Kächele Exams ST 2021 7900033 Introduction to Statistical Machine Learning Schienle ST 2021 7900250 Data Mining and Applications (Projectseminar) Nakhaeizadeh

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment (§ 4(2), 3 SPO 2015). The following aspects are included:

• Regular participation in the seminar dates • Preparation of a seminar paper on a partial aspect of the seminar topic according to scientific methods • Lecture on the topic of the seminar paper.

The point scheme for the assessment is determined by the lecturer of the respective course. It will be announced at the beginning of the course.

Prerequisites None.

Recommendation See seminar description in the course catalogue of the KIT (https://campus.kit.edu/)

Annotation The listed seminar titles are placeholders. Currently offered seminars of each semester will be published on the websites of the institutes and in the course catalogue of the KIT. In general, the current seminar topics of each semester are already announced at the end of the previous semester. Furthermore for some seminars there is an application required. The available places are listed on the internet: https://portal.wiwi.kit.edu.

Below you will find excerpts from events related to this course:

Introduction to Statistical Machine Learning V Seminar (S) 2500004, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Advanced Topics in Econometrics V Seminar (S) 2521310, SS 2021, 2 SWS, Language: German/English, Open in study portal Online

Organizational issues Blockveranstaltung, Termine werden bekannt gegeben

Industrial Engineering and Management M.Sc. 718 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar in Transportation [T-BGU-100014]

T 7.381 Course: Seminar in Transportation [T-BGU-100014]

Responsible: Bastian Chlond Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 6232903 Seminar Verkehrswesen 2 SWS Seminar / 🖥 Chlond, Vortisch, Kagerbauer WT 21/22 6232903 Seminar Verkehrswesen 2 SWS Seminar Vortisch, KIT Exams ST 2021 8245100014 Seminar in Transportation Vortisch, Chlond

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate seminar paper, appr. 10 pages, and presentation, appr. 10 min.

Prerequisites The seminar is subject to approval. The approval must be applied for at the examination secretariat of the Department of Economics and Management. The application for admission is made via the corresponding engineering seminar form on the department's download page.

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 719 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Methods along the Innovation process [T-WIWI-110987]

T 7.382 Course: Seminar Methods along the Innovation process [T-WIWI-110987]

Responsible: Dr. Daniela Beyer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate Alternative exam assessment.

Recommendation Prior attendance of the course Innovation Management [2545015] is recommended.

Industrial Engineering and Management M.Sc. 720 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Mobility Services (Master) [T-WIWI-103174]

T 7.383 Course: Seminar Mobility Services (Master) [T-WIWI-103174]

Responsible: Prof. Dr. Gerhard Satzger Carola Stryja Organisation: KIT Department of Economics and Management Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate A final written exam will be conducted.

Prerequisites None

Annotation The course is not offered regularly.

Industrial Engineering and Management M.Sc. 721 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Production Technology [T-MACH-109062]

T 7.384 Course: Seminar Production Technology [T-MACH-109062]

Responsible: Prof. Dr.-Ing. Jürgen Fleischer Prof. Dr.-Ing. Gisela Lanza Prof. Dr.-Ing. Volker Schulze Organisation: KIT Department of Mechanical Engineering

Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2149665 Seminar Production Technology 1 SWS Seminar / 🖥 Fleischer, Lanza, Schulze, Zanger Exams ST 2021 76-T-MACH-109062 Seminar Production Technology Fleischer, Lanza, Schulze

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative test achievement (graded):

• written elaboration (workload of at least 80 h) • oral presentation (approx. 30 min)

Prerequisites none

Annotation The specific topics are published on the homepage of the wbk Institute of Production Science.

Below you will find excerpts from events related to this course:

Seminar Production Technology V Seminar (S) 2149665, SS 2021, 1 SWS, Language: German, Open in study portal Online

Content In course of the seminar Production Technology current issues of the wbk main fields of research "Manufacturing and Materials Technology", "Machines, Equipment and Process Automation" as well as "Production Systems" are discussed. The specific topics are published on the homepage of the wbk Institute of Production Science.

Learning Outcomes: The students …

• are in a position to independently handle current, research-based tasks according to scientific criteria. • are able to research, analyze, abstract and critically review the information. • can draw own conclusions using their interdisciplinary knowledge from the less structured information and selectively develop current research results. • can logically and systematically present the obtained results both orally and in written form in accordance with scientific guidelines (structuring, technical terminology, referencing). They can argue and defend the results professionally in the discussion.

Workload: regular attendance: 10 hours self-study: 80 hours

Industrial Engineering and Management M.Sc. 722 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Production Technology [T-MACH-109062]

Organizational issues siehe http://www.wbk.kit.edu/seminare.php

Industrial Engineering and Management M.Sc. 723 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar Sensors [T-ETIT-100707]

T 7.385 Course: Seminar Sensors [T-ETIT-100707]

Responsible: Dr. Wolfgang Menesklou Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101158 - Sensor Technology I

Type Credits Grading scale Version Examination of another type 3 Grade to a third 1

Events

ST 2021 2304233 Seminar Sensorik 2 SWS Seminar / 🖥 Menesklou WT 21/22 2304233 Seminar Sensor Technology 2 SWS Seminar / 🖥 Menesklou Exams ST 2021 7304233 Seminar Sensors Menesklou

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 724 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar: Commercial and Corporate Law in the IT Industry [T-INFO-111405]

T 7.386 Course: Seminar: Commercial and Corporate Law in the IT Industry [T- INFO-111405]

Responsible: Prof. Dr. Thomas Dreier Dr. Georg Nolte Organisation: KIT Department of Informatics Part of: M-INFO-101216 - Private Business Law

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events

WT 21/22 2400165 Seminar Commercial and Corporate 2 SWS Seminar / 🖥 Nolte Law in Information Technology Exams WT 21/22 7500182 Seminar: Legal Studies II Dreier, Boehm, Raabe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 725 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar: IT- Security Law [T-INFO-111404]

T 7.387 Course: Seminar: IT- Security Law [T-INFO-111404]

Responsible: Martin Schallbruch Organisation: KIT Department of Informatics Part of: M-INFO-101217 - Public Business Law

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events WT 21/22 24389 Seminar "IT-Sicherheitsrecht" 2 SWS Seminar Schallbruch Exams WT 21/22 7500249 Seminar: IT- Security Law

Industrial Engineering and Management M.Sc. 726 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar: Legal Studies I [T-INFO-101997]

T 7.388 Course: Seminar: Legal Studies I [T-INFO-101997]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each term 1

Events

ST 2021 2400041 Governance, Risk & Compliance 2 SWS Seminar / 🖥 Herzig ST 2021 2400061 Internet und Gesellschaft - 2 SWS Seminar / 🖥 Bless, Boehm, gesellschaftliche Werte und Hartenstein, Mädche, technische Umsetzung Sunyaev, Zitterbart, Volkamer

ST 2021 2400065 "Die Corona-Krise aus der Sicht des 2 SWS Seminar / 🖥 Eichenhofer Verfassungsrechts"

ST 2021 2400082 "Verfassungsrechtliche Fragen 2 SWS Seminar / 🖥 Eichenhofer staatlicher Öffentlichkeitsarbeit"

ST 2021 2400127 Aktuelle Probleme des Seminar / 🖥 Eichenhofer Datenschutzrechts

ST 2021 2400153 Technische Aspekte der DSGVO 2 SWS Seminar / 🖥 Boehm, Dimitrova und deren Umsetzung in der Praxis

ST 2021 24820 Current Issues in Patent Law 2 SWS Seminar / 🖥 Melullis Exams ST 2021 7500106 Title not available Bless, Hartenstein, Mädche, Zitterbart, Boehm, Sunyaev ST 2021 7500140 Seminar: Legal Studies I Dreier, Boehm, Melullis, Matz ST 2021 7500159 Seminar: Legal Studies I Eichenhofer WT 21/22 7500182 Seminar: Legal Studies II Dreier, Boehm, Raabe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Below you will find excerpts from events related to this course:

Internet und Gesellschaft - gesellschaftliche Werte und technische Umsetzung V Seminar (S) 2400061, SS 2021, 2 SWS, Open in study portal Online

Content

• Registration via https://portal.wiwi.kit.edu/ys/4516

Organizational issues nach Vereinbarung

Industrial Engineering and Management M.Sc. 727 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar: Legal Studies II [T-INFO-105945]

T 7.389 Course: Seminar: Legal Studies II [T-INFO-105945]

Responsible: Prof. Dr. Thomas Dreier Organisation: KIT Department of Informatics Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Version Examination of another type 3 Grade to a third 1

Events

ST 2021 2400061 Internet und Gesellschaft - 2 SWS Seminar / 🖥 Bless, Boehm, gesellschaftliche Werte und Hartenstein, Mädche, technische Umsetzung Sunyaev, Zitterbart, Volkamer

ST 2021 2400065 "Die Corona-Krise aus der Sicht des 2 SWS Seminar / 🖥 Eichenhofer Verfassungsrechts"

ST 2021 2400082 "Verfassungsrechtliche Fragen 2 SWS Seminar / 🖥 Eichenhofer staatlicher Öffentlichkeitsarbeit"

ST 2021 2400127 Aktuelle Probleme des Seminar / 🖥 Eichenhofer Datenschutzrechts

ST 2021 2400153 Technische Aspekte der DSGVO 2 SWS Seminar / 🖥 Boehm, Dimitrova und deren Umsetzung in der Praxis

WT 21/22 2400014 Current Issues in Patent Law 2 SWS Seminar / 🗣 Melullis WT 21/22 2400125 Security and Privacy Awareness 2 SWS Seminar Boehm, Seidel-Saul, Volkamer, Aldag WT 21/22 2513214 Seminar Information security and 2 SWS Seminar Oberweis, Volkamer, Data protection (Bachelor) Raabe, Alpers, Düzgün, Dietmann, Hennig, Schiefer, Wagner Exams ST 2021 7500106 Title not available Bless, Hartenstein, Mädche, Zitterbart, Boehm, Sunyaev WT 21/22 7500182 Seminar: Legal Studies II Dreier, Boehm, Raabe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Below you will find excerpts from events related to this course:

Internet und Gesellschaft - gesellschaftliche Werte und technische Umsetzung V Seminar (S) 2400061, SS 2021, 2 SWS, Open in study portal Online

Content

• Registration via https://portal.wiwi.kit.edu/ys/4516

Organizational issues nach Vereinbarung

Security and Privacy Awareness V Seminar (S) 2400125, WS 21/22, 2 SWS, Open in study portal

Industrial Engineering and Management M.Sc. 728 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar: Legal Studies II [T-INFO-105945]

Content Within the framework of this interdisciplinary seminar, the topics security awareness and privacy awareness are to be considered from different perspectives. It deals with legal, information technology, psychological, social as well as philosophical aspects. Note: The link to enrol is for every student, regardless of the study background! Dates:

• Kick-Off : 22.10.21, 14:00 o'clock • Final version: 23.01.2022 • Presentation: 04.02.2022, 13:00 o'clock

Topics will be assigned after the enrolment deadline, before the Kick-Off. Consider that legal focused topics require you to speak and understand german legal texts. Topics:

• Phishing for Difference: How Does Phishing Impact Visually-Impaired Users? • Wann wird Marketing im Security-Kontext ethisch bedenklich? • Untersuchung der Wahrnehmung von (technischen) Backdoors zur Strafverfolgung. • Data-Governance-Act – Fluch oder Segen für den Datenschutz? • Würde lieber kein Thema anbieten, notfalls "Was ist der Wert von Privatheit?" • Massenüberwachung von Kommunikationsknotenpunkten und Chilling Effects -- Eine rechtliche und ethische Auseinandersetzung • Verletzt algorithmische Analyse von personenbezogenen Daten durch KI Privatheit -- und wenn ja, wie schlimm ist das?

ATTENTION: The seminar is only for MASTER students!

Industrial Engineering and Management M.Sc. 729 Module Handbook as of 30/09/2021 7 COURSES Course: Seminar: Patent Law [T-INFO-111403]

T 7.390 Course: Seminar: Patent Law [T-INFO-111403]

Responsible: Markus Dammler Organisation: KIT Department of Informatics Part of: M-INFO-101215 - Intellectual Property Law

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events

WT 21/22 24186 Seminar Patent Law 2 SWS Seminar / 🖥 Dammler Exams WT 21/22 7500182 Seminar: Legal Studies II Dreier, Boehm, Raabe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 730 Module Handbook as of 30/09/2021 7 COURSES Course: Sensors [T-ETIT-101911]

T 7.391 Course: Sensors [T-ETIT-101911]

Responsible: Dr. Wolfgang Menesklou Organisation: KIT Department of Electrical Engineering and Information Technology Part of: M-ETIT-101158 - Sensor Technology I

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2304231 Sensors 2 SWS Lecture / 🖥 Menesklou Exams ST 2021 7304231 Sensors Menesklou

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 731 Module Handbook as of 30/09/2021 7 COURSES Course: Service Design Thinking [T-WIWI-102849]

T 7.392 Course: Service Design Thinking [T-WIWI-102849]

Responsible: Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101503 - Service Design Thinking

Type Credits Grading scale Recurrence Version Examination of another type 12 Grade to a third Irregular 4

Exams ST 2021 7900314 Service Design Thinking Satzger

Competence Certificate Alternative exam assessment.

Prerequisites None

Recommendation This course is held in English – proficiency in writing and communication is required. Our past students recommend to take this course at the beginning of the masters program.

Annotation Due to practical project work as a component of the program, access is limited. The module (as well as the module component) spans two semesters. It starts in September every year and runs until end of June in the subsequent year. Entering the program is only possible at its beginning - after prior application in May/June. For more information on the application process and the program itself are provided in the module component description and the program's website (http://sdt-karlsruhe.de). Furthermore, the KSRI conducts an information event for applicants every year in May. This module is part of the KSRI Teaching Program „Digital Service Systems“. For more information see the KSRI Teaching website: www.ksri.kit.edu/teaching.

Industrial Engineering and Management M.Sc. 732 Module Handbook as of 30/09/2021 7 COURSES Course: Service Innovation [T-WIWI-102641]

T 7.393 Course: Service Innovation [T-WIWI-102641]

Responsible: Prof. Dr. Gerhard Satzger Organisation: KIT Department of Economics and Management Part of: M-WIWI-101410 - Business & Service Engineering M-WIWI-101448 - Service Management M-WIWI-102806 - Service Innovation, Design & Engineering

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2595468 Service Innovation 2 SWS Lecture / 🖥 Satzger Exams ST 2021 7900266 Service Innovation Satzger WT 21/22 7900009 Service Innovation Satzger

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of a written exam (60 min.). A bonus can be acquired through successful participation in the exercise. If the grade of the written exam is between 4.0 and 1.3, the bonus improves the grade by one grade (0.3 or 0.4). Details will be announced in the lecture.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Service Innovation V Lecture (V) 2595468, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content Continuous innovation is a prerequisite for firms to stay competitive. While innovation in manufacturing or agriculture can build on a considerable body of research, experience and best practices, innovation in services has not reached the same level of maturity. This course takes a close look at the topic of service innovation. We will lay the foundations with an initial overview of service innovation including the basic concepts, challenges and innovation processes. We will compare product and service innovation and understand how innovation diffusion works. The second part focuses on applicable methods and tools for service innovation: we will cover possible sources of innovations, ways to identify opportunities for innovations and the potential of service innovations built on data. For example, open and closed innovation approaches will be contrasted, the benefits of leveraging user communities to drive innovation will be explored and the human-centric innovation approach (Service) Design Thinking will be introduced. We will also look into the opportunities that technology offers for service innovation. The last part of the lecture covers the management of service innovation and insights from practice. You will understand obstacles and enablers, and learn how to manage, incentivize and foster service innovation.

Industrial Engineering and Management M.Sc. 733 Module Handbook as of 30/09/2021 7 COURSES Course: Service Innovation [T-WIWI-102641]

Literature

• Cardoso, J., Fromm, H., Nickel, S., Satzger, G., Studer, R., & Weinhardt, C. (Eds.) (2015). Fundamentals of service systems (Vol. 12). Heidelberg: Springer. • Lusch, R. F., & Nambisan, S. (2015). Service innovation: A service-dominant logic perspective. MIS quarterly, 39(1), 155-175. • Christensen, Clayton M. (2013). The Innovator’s Dilemma - when new technologies cause great firms to fail. Boston, Massachusetts: Harvard Business Review Press. • Rogers, S. (2003). Diffusion of Innovations. 5. ed. New York: Free Press. • Chesbrough, H. W. (2011). Open services innovation - rethinking your business to grow and compete in a new era. 1. ed. San Francisco: Jossey-Bass. • Chesbrough, H. (2011). Open services innovation: Rethinking your business to grow and compete in a new era. John Wiley & Sons. • Uebernickel, F., Brenner, W., Pukall, B., Naef, T., & Schindlholzer, B. (2015). Design Thinking: Das Handbuch. Frankfurt am Main: Frankfurter Allgemeine Buch. • Runco, M.A. (2014). Creativity: Theories and Themes: Research, Development, and Practice (2nd ed.). Amsterdam: Academic Press.

Industrial Engineering and Management M.Sc. 734 Module Handbook as of 30/09/2021 7 COURSES Course: SIL Entrepreneurship Emphasis [T-WIWI-110287]

T 7.394 Course: SIL Entrepreneurship Emphasis [T-WIWI-110287]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-105010 - Student Innovation Lab (SIL) 1

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events WT 21/22 2500002 SIL Entrepreneurship Emphasis 2-4 SWS Seminar Mitarbeiter Exams WT 21/22 7900041 SIL Entrepreneurship Emphasis Terzidis

Competence Certificate Alternative exam assessment (§4(2), 3 SPO). The final grade is a result from both, the grade of the term paper and its presentation, as well as active participation during the seminar. In addition, smaller, ungraded tasks are provided in the course to monitor progress.

Prerequisites None

Recommendation None

Industrial Engineering and Management M.Sc. 735 Module Handbook as of 30/09/2021 7 COURSES Course: SIL Entrepreneurship Project [T-WIWI-110166]

T 7.395 Course: SIL Entrepreneurship Project [T-WIWI-110166]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-105010 - Student Innovation Lab (SIL) 1

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Events WT 21/22 2545082 SIL Entrepreneurship Project 2-4 SWS Seminar Mitarbeiter Exams WT 21/22 7900037 SIL Entrepreneurship Project Terzidis

Competence Certificate Alternative exam assessment (§4(2), 3 SPO). The final grade is a result from both, the grade of the term paper and its presentation, as well as active participation during the seminar. In addition, smaller, ungraded tasks are provided in the course to monitor progress.

Prerequisites None

Recommendation None

Industrial Engineering and Management M.Sc. 736 Module Handbook as of 30/09/2021 7 COURSES Course: Simulation Game in Energy Economics [T-WIWI-108016]

T 7.396 Course: Simulation Game in Energy Economics [T-WIWI-108016]

Responsible: Dr. Massimo Genoese Organisation: KIT Department of Economics and Management Part of: M-WIWI-101451 - Energy Economics and Energy Markets

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each summer term 1

Events ST 2021 2581025 Simulation Game in Energy 3 SWS Lecture / Practice ( / Genoese, Zimmermann Economics 🖥 Exams ST 2021 7981025 Simulation Game in Energy Economics Fichtner

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Examination as written assignment and oral presentation (§4 (2), 1 SPO).

Prerequisites None

Recommendation Visiting the course "Introduction to Energy Economics"

Below you will find excerpts from events related to this course:

Simulation Game in Energy Economics V Lecture / Practice (VÜ) 2581025, SS 2021, 3 SWS, Language: German, Open in study portal Online

Content

• Introduction • Agents and market places in the electricity industry • Selected planning tasks of energy service companies • Methods of modelling in the energy sector • Agent-based simulation: The PowerACE model • Simulation game: Simulation in energy economics (electricity and emission trading, investment decisions)

The lecture is structured in a theoretical and a practical part. In the theoretical part, the students are taught the basics to carry out simulations themselves in the practical part which comprises amongst others the simulation of the power exchange. The participants of the simulation game take a role as a power trader in the power market. Based on various sources of information (e.g. prognosis of power prices, available power plants, fuel prices), they can launch bids in the power exchange. Assessment: presentation and written summary Prerequisites: Basics in Energy economics ad markets are advantageous.

Organizational issues CIP-Pool West, Raum 102, Geb. 06.41 - siehe Institutsaushang

Literature Weiterführende Literatur: Möst, D. und Genoese, M. (2009): Market power in the German wholesale electricity market. The Journal of Energy Markets (47– 74). Volume 2/Number 2, Summer 2009

Industrial Engineering and Management M.Sc. 737 Module Handbook as of 30/09/2021 7 COURSES Course: Simulation of Coupled Systems [T-MACH-105172]

T 7.397 Course: Simulation of Coupled Systems [T-MACH-105172]

Responsible: Prof. Dr.-Ing. Marcus Geimer Yusheng Xiang Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 2

Events ST 2021 2114095 Simulation of Coupled Systems 2 SWS Lecture / 🧩 Geimer Exams ST 2021 76T-MACH-105172 Simulation of Coupled Systems Geimer WT 21/22 76T-MACH-105172 Simulation of Coupled Systems Geimer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral exam (20 min) taking place in the recess period. The exam takes place in every semester. Re- examinations are offered at very ordinary examination date. A registration in mandatory, the details will be announced on the webpages of the Institute of Vehicle System Technology / Institute of Mobile Machines. In case of too many applications, attendance will be granted based on pre-qualification.

Prerequisites Required for the participation in the examination is the preparation of a report during the semester. The partial service with the code T-MACH-108888 must have been passed.

Recommendation

• Knowledge of ProE (ideally in actual version) • Basic kniwledge of Matlab/Simulink • Basic knowledge of dynamics of machnies • Basic knowledge of hydraulics

Annotation After completion of course, students are able to:

• build a coupled simulation • parametrize models • perform simulations • conduct troubleshooting • check results for plausibility

The number of participants is limited. Content:

• Basics of multi-body and hydralics simulation programs • Possibilities of coupled simulations • Modelling and Simulation of Mobile Machines using a wheel loader • Documentation of the result in a short report

Literature: Software guide books (PDFs) Information about wheel-type loader specifications

Below you will find excerpts from events related to this course:

Industrial Engineering and Management M.Sc. 738 Module Handbook as of 30/09/2021 7 COURSES Course: Simulation of Coupled Systems [T-MACH-105172]

Simulation of Coupled Systems V Lecture (V) 2114095, SS 2021, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content

• Knowledge of the basics of multi-body and hydraulic simulation programs • Possibilities of coupled simulations • Development of a simulation model by using the example of a wheel loader • Documentation of the result in a short report

It is recommended to have:

• Knowledge of ProE (ideally in current version) • Basic knowledge of Matlab/Simulink • Basic knowledge of dynamics of machines • Basic knowledge of hydraulics

• regular attendance: 21 hours • total self-study: 92 hours

Literature Weiterführende Literatur:

• Diverse Handbücher zu den Softwaretools in PDF-Form • Informationen zum verwendeten Radlader

Industrial Engineering and Management M.Sc. 739 Module Handbook as of 30/09/2021 7 COURSES Course: Simulation of Coupled Systems - Advance [T-MACH-108888]

T 7.398 Course: Simulation of Coupled Systems - Advance [T-MACH-108888]

Responsible: Prof. Dr.-Ing. Marcus Geimer Yusheng Xiang Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Version Completed coursework 0 pass/fail Each summer term 1

Exams ST 2021 76-T-MACH-108888 Simulation of Coupled Systems - Advance Geimer WT 21/22 76-T-MACH-108888 Simulation of Coupled Systems - Advance Geimer

Competence Certificate Preparation of semester report

Prerequisites none

Industrial Engineering and Management M.Sc. 740 Module Handbook as of 30/09/2021 7 COURSES Course: Site Management [T-BGU-103427]

T 7.399 Course: Site Management [T-BGU-103427]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction M-BGU-101888 - Project Management in Construction

Type Credits Grading scale Recurrence Version Oral examination 1,5 Grade to a third Each summer term 1

Events

ST 2021 6241807 Bauleitung 1 SWS Lecture / 🖥 Steffek Exams ST 2021 8240103427 Site Management Haghsheno

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 741 Module Handbook as of 30/09/2021 7 COURSES Course: Smart Energy Infrastructure [T-WIWI-107464]

T 7.400 Course: Smart Energy Infrastructure [T-WIWI-107464]

Responsible: Dr. Armin Ardone Dr. Dr. Andrej Marko Pustisek Organisation: KIT Department of Economics and Management Part of: M-WIWI-101452 - Energy Economics and Technology

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each winter term 1

Events WT 21/22 2581023 (Smart) Energy Infrastructure 2 SWS Lecture Ardone, Pustisek Exams ST 2021 7981023 Smart Energy Infrastructure Fichtner

Competence Certificate The assessment consists of a written exam (60 minutes). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date.

Prerequisites None.

Below you will find excerpts from events related to this course:

(Smart) Energy Infrastructure V Lecture (V) 2581023, WS 21/22, 2 SWS, Language: German, Open in study portal

Content

• Basic terms and concepts • Meaning of infrastructure • Excursus: regulation of infrastructure • Natural gas transportation • Natural gas storage • Electricity transmission • (Overview) Crude oil and oil product transportation

Industrial Engineering and Management M.Sc. 742 Module Handbook as of 30/09/2021 7 COURSES Course: Smart Grid Applications [T-WIWI-107504]

T 7.401 Course: Smart Grid Applications [T-WIWI-107504]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101446 - Market Engineering M-WIWI-103720 - eEnergy: Markets, Services and Systems

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 2

Events WT 21/22 2540452 Smart Grid Applications 2 SWS Lecture Staudt, van Dinther WT 21/22 2540453 Übung zu Smart Grid Applications 1 SWS Lecture Staudt, Henni

Competence Certificate The assessment consists of a written exam (60 min) (according to §4(2), 1 of the examination regulations). By successful completion of the exercises (§4 (2), 3 SPO 2007 respectively §4 (3) SPO 2015) a bonus can be obtained. If the grade of the written exam is at least 4.0 and at most 1.3, the bonus will improve it by one grade level (i.e. by 0.3 or 0.4).

Prerequisites None

Recommendation None

Annotation The lecture will be read for the first time in winter term 2018/19.

Industrial Engineering and Management M.Sc. 743 Module Handbook as of 30/09/2021 7 COURSES Course: Social Choice Theory [T-WIWI-102859]

T 7.402 Course: Social Choice Theory [T-WIWI-102859]

Responsible: Prof. Dr. Clemens Puppe Organisation: KIT Department of Economics and Management Part of: M-WIWI-101500 - Microeconomic Theory M-WIWI-101504 - Collective Decision Making

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each summer term 2

Events

ST 2021 2520537 Social Choice Theory 2 SWS Lecture / 🖥 Puppe, Kretz ST 2021 2520539 Übung zu Social Choice Theory 1 SWS Practice / 🖥 Kretz, Puppe Exams ST 2021 7900292 Social Choice Theory Puppe ST 2021 7900293 Social Choice Theory Puppe

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an alternative exam assessment (open book exam). The exam takes place in every summer semester.

Prerequisites None

Below you will find excerpts from events related to this course:

Social Choice Theory V Lecture (V) 2520537, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content How should (political) candidates be elected? What are good ways of merging individual judgments into collective judgments? Social Choice Theory is the systematic study and comparison of how groups and societies can come to collective decisions. The course offers a rigorous and comprehensive treatment of judgment and preference aggregation as well as voting theory. It is divided into two parts. The first part deals with (general binary) aggregation theory and builds towards a general impossibility result that has the famous Arrow theorem as a corollary. The second part treats voting theory. Among other things, it includes prooving the Gibbard-Satterthwaite theorem.

Literature Main texts:

• Hervé Moulin: Axioms of Cooperative Decision Making, Cambridge University Press, 1988 • Christian List and Clemens Puppe: Judgement Aggregation. A survey, in: Handbook of rational & social choice, P.Anand,P.Pattanaik, C.Puppe (Eds.), Oxford University Press 2009.

Secondary texts:

• Amartya Sen: Collective Choice and Social Welfare, Holden-Day, 1970 • Wulf Gaertner: A Primer in Social Choice Theory, revised edition, Oxford University Press, 2009 • Wulf Gaertner: Domain Conditions in Social Choice Theory, Oxford University Press, 2001

Industrial Engineering and Management M.Sc. 744 Module Handbook as of 30/09/2021 7 COURSES Course: Sociotechnical Information Systems Development [T-WIWI-109249]

T 7.403 Course: Sociotechnical Information Systems Development [T-WIWI-109249]

Responsible: Prof. Dr. Ali Sunyaev Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 2

Events

ST 2021 2512400 Advanced Lab Development of 3 SWS Practical course / 🖥 Sunyaev, Pandl Sociotechnical Information Systems (Bachelor)

ST 2021 2512401 Development of Sociotechnical 3 SWS Practical course / 🖥 Sunyaev, Pandl Information Systems (Master) Exams ST 2021 7900173 Advanced Lab Development of Sociotechnical Information Systems Sunyaev (Master) WT 21/22 7900080 Advanced Lab Development of Sociotechnical Information Systems Sunyaev (Bachelor) WT 21/22 7900143 Advanced Lab Development of Sociotechnical Information Systems Sunyaev (Master)

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The alternative exam assessment consists of an implementation and a final thesis documenting the development and use of the application.

Prerequisites None.

Below you will find excerpts from events related to this course:

Advanced Lab Development of Sociotechnical Information Systems (Bachelor) V Practical course (P) 2512400, SS 2021, 3 SWS, Language: German/English, Open in study portal Online

Content The aim of the lab is to get to know the development of socio-technical information systems in different application areas. In the event framework, you should develop a suitable solution strategy for your problem alone or in group work, collect requirements, and implement a software artifact based on it (for example, web platform, mobile apps, desktop application). Another focus of the lab is on the subsequent quality assurance and documentation of the implemented software artifact. Registration information will be announced on the course page.

Development of Sociotechnical Information Systems (Master) V Practical course (P) 2512401, SS 2021, 3 SWS, Language: German/English, Open in study portal Online

Content The aim of the lab is to get to know the development of socio-technical information systems in different application areas. In the event framework, you should develop a suitable solution strategy for your problem alone or in group work, collect requirements, and implement a software artifact based on it (for example, web platform, mobile apps, desktop application). Another focus of the lab is on the subsequent quality assurance and documentation of the implemented software artifact. Registration information will be announced on the course page.

Industrial Engineering and Management M.Sc. 745 Module Handbook as of 30/09/2021 7 COURSES Course: Software Quality Management [T-WIWI-102895]

T 7.404 Course: Software Quality Management [T-WIWI-102895]

Responsible: Prof. Dr. Andreas Oberweis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 2

Events

ST 2021 2511208 Software Quality Management 2 SWS Lecture / 🖥 Oberweis ST 2021 2511209 Übungen zu Software- 1 SWS Practice / 🖥 Oberweis, Frister Qualitätsmanagement Exams ST 2021 7900031 Software Quality Management (Registration until 12 July 2021) Oberweis WT 21/22 7900027 Software Quality Management Oberweis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation in the first week after lecture period.

Prerequisites None

Below you will find excerpts from events related to this course:

Software Quality Management V Lecture (V) 2511208, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content This lecture imparts fundamentals of active software quality management (quality planning, quality testing, quality control, quality assurance) and illustrates them with concrete examples, as currently applied in industrial software development. Keywords of the lecture content are: software and software quality, process models, software process quality, ISO 9000-3, CMM(I), BOOTSTRAP, SPICE, software tests. Learning objectives: Students

• explain the relevant quality models, • apply methods to evaluate the software quality and evaluate the results, • know the mail models of sofware certification, compare and evaluate these models, • write scientific theses in the area of software quality management and find own solutions for given problems.

Recommendations: Programming knowledge in Java and basic knowledge of computer science are expected. Workload:

• Lecture 30h • Exercise 15h • Preparation of lecture 24h • Preparation of exercises 25h • Exam preparation 40h • Exam 1h

Industrial Engineering and Management M.Sc. 746 Module Handbook as of 30/09/2021 7 COURSES Course: Software Quality Management [T-WIWI-102895]

Literature

• Helmut Balzert: Lehrbuch der Software-Technik. Spektrum-Verlag 2008 • Peter Liggesmeyer: Software-Qualität, Testen, Analysieren und Verifizieren von Software. Spektrum Akademischer Verlag 2002 • Mauro Pezzè, Michal Young: Software testen und analysieren. Oldenbourg Verlag 2009

Weitere Literatur wird in der Vorlesung bekanntgegeben.

Industrial Engineering and Management M.Sc. 747 Module Handbook as of 30/09/2021 7 COURSES Course: Spatial Economics [T-WIWI-103107]

T 7.405 Course: Spatial Economics [T-WIWI-103107]

Responsible: Prof. Dr. Ingrid Ott Organisation: KIT Department of Economics and Management Part of: M-WIWI-101485 - Transport Infrastructure Policy and Regional Development M-WIWI-101496 - Growth and Agglomeration M-WIWI-101497 - Agglomeration and Innovation

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events

WT 21/22 2561260 Spatial Economics 2 SWS Lecture / 🗙 Ott WT 21/22 2561261 1 SWS Practice / 🗙 Ott, Assistenten Exams ST 2021 7900103 Spatial Economics Ott WT 21/22 7900075 Spatial Economics Ott

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Depending on further pandemic developments, the examination will be offered either as an open-book examination, or as a 60- minute written examination.

Prerequisites None

Recommendation Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses "Economics I" [2600012], and "Economics II" [2600014]. In addition, an interest in quantitative-mathematical modeling is required. The attendance of the course "Introduction to economic policy" [2560280] is recommended.

Annotation Due to the research semester of Prof. Dr. Ingrid Ott, the course will not be offered in the winter semester 2021/22. The exam will take place. Preparation materials can be found in ILIAS.

Below you will find excerpts from events related to this course:

Spatial Economics V Lecture (V) 2561260, WS 21/22, 2 SWS, Language: English, Open in study portal Cancelled

Industrial Engineering and Management M.Sc. 748 Module Handbook as of 30/09/2021 7 COURSES Course: Spatial Economics [T-WIWI-103107]

Content The course covers the following topics:

• Geography, trade and development • Geography and economic theory • Core models of economic geography and empirical evidence • Agglomeration, home market effect, and spatial wages • Applications and extensions

Learning objectives: The student

• analyses how spatial distribution of economic activity is determined. • uses quantitative methods within the context of economic models. • has basic knowledge of formal-analytic methods. • understands the link between economic theory and its empirical applications. • understands to what extent concentration processes result from agglomeration and dispersion forces. • is able to determine theory based policy recommendations.

Recommendations: Basic knowledge of micro- and macroeconomics is assumed, as taught in the courses Economics I [2600012], and Economics II [2600014]. An interest in mathematical modeling is advantageous. Workload: The total workload for this course is approximately 135 hours.

• Classes: ca. 30 h • Self-study: ca. 45 h • Exam and exam preparation: ca. 60 h

Assessment: The assessment consists of a written exam (60 minutes) (following §4(2), 1 of the examination regulation).

Organizational issues Die Vorlesung wird im WiSe 2021 aufgrund eines Forschungssemesters nicht gelesen. Die Prüfung findet statt. Vorbereitungsmaterialien finden Sie im ILIAS.

Literature Steven Brakman, Harry Garretsen, Charles van Marrewijk (2009): The New Introduction to Geographical Economics, 2nd ed, Cambridge University Press. Weitere Literatur wird in der Vorlesung bekanntgegeben. (Further literature will be announced in the lecture.)

Industrial Engineering and Management M.Sc. 749 Module Handbook as of 30/09/2021 7 COURSES Course: Special Topics in Highway Engineering and Environmental Impact Assessment [T-BGU-101860]

T 7.406 Course: Special Topics in Highway Engineering and Environmental Impact Assessment [T-BGU-101860]

Responsible: Prof. Dr.-Ing. Ralf Roos Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-100999 - Highway Engineering

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 6233804 Umweltverträglichkeitsstudien im 1 SWS Lecture / 🖥 Roos Straßenwesen

ST 2021 6233807 Besondere Kapitel im 1 SWS Lecture / 🖥 Roos Straßenwesen Exams ST 2021 8240101860 Special Topics in Highway Engineering and Environmental Impact Roos Assessment

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam with 15 minutes

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 750 Module Handbook as of 30/09/2021 7 COURSES Course: Special Topics in Information Systems [T-WIWI-109940]

T 7.407 Course: Special Topics in Information Systems [T-WIWI-109940]

Responsible: Prof. Dr. Christof Weinhardt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101410 - Business & Service Engineering M-WIWI-101411 - Information Engineering M-WIWI-101506 - Service Analytics M-WIWI-103720 - eEnergy: Markets, Services and Systems

Type Credits Grading scale Recurrence Version Examination of another type 4,5 Grade to a third Each term 2

Exams ST 2021 7900224 Special Topics in Information Systems Weinhardt WT 21/22 7900263 Special Topics in Information Systems Weinhardt

Competence Certificate The assessment of this course is according to §4(2), 3 SPO in form of a written documentation, a presentation of the outcome of the conducted pracitical components and an active participation in class. Please take into account that, beside the written documentation, also a practical component (such as a survey or an implementation of an application) is part of the course. Please examine the course description for the particular tasks. The final mark is based on the graded and weighted attainments (such as the written documentation, presentation, practical work and an active participation in class).

Prerequisites see below

Recommendation None

Annotation All the practical seminars offered at the chair of Prof. Dr. Weinhardt can be chosen in the Special Topics in Information Systems course. The current topics of the practical seminars are available at the following homepage: www.iism.kit.edu/im/lehre. The Special Topics Information Systems is equivalent to the practical seminar, as it was only offered for the major in “Information Systems” so far. With this course students majoring in “Industrial Engineering and Management“ and “Economics Engineering” also have the chance of getting practical experience and enhance their scientific capabilities. The Special Topics Information Systems can be chosen instead of a regular lecture (see module description). Please take into account, that this course can only be accounted once per module.

Industrial Engineering and Management M.Sc. 751 Module Handbook as of 30/09/2021 7 COURSES Course: Startup Experience [T-WIWI-111561]

T 7.408 Course: Startup Experience [T-WIWI-111561]

Responsible: Prof. Dr. Orestis Terzidis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101488 - Entrepreneurship (EnTechnon) M-WIWI-101488 - Entrepreneurship (EnTechnon)

Type Credits Grading scale Recurrence Version Examination of another type 6 Grade to a third Each term 1

Events WT 21/22 2545004 Startup Experience 4 SWS Seminar / 🧩 González Exams WT 21/22 7900186 Startup Experience Terzidis

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative exam assessment. Details on the design of the examination performance of other types will be announced in the course.The grade is composed of a presentation and a written paper (plus any specified documentation, e.g. work results, experience diary, reflection).

Recommendation Lecture Entrepreneurship already completed

Annotation The language in the seminar is English. The seminar contents will be published on the chair homepage.

Below you will find excerpts from events related to this course:

Startup Experience V Seminar (S) 2545004, WS 21/22, 4 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 752 Module Handbook as of 30/09/2021 7 COURSES Course: Startup Experience [T-WIWI-111561]

Content In the Startup Experience course, you develop entrepreneurial competences that enable you to develop a new venture. In an entrepreneurial project, you have three main goals: 1. Identify and develop an opportunity. Who is your target customer and what problem or task does he or she have? How attractive and how big is this market? 2. How will you provide value for them? How can you use specific resources, including technology to develop a solution? 3. How can you conceive and set up a viable organization? Which business model do you suggest to create, deliver, and capture value? After the teams have been formed, they start with an analysis of the personal values and competences of the team members. This will create a basis for their common project. The focus of the seminar is on technology-based venturing. In this context, we will use the TAS (Technology-Application-Selection) approach developed at the EnTechnon. By default, we start from KIT patents (but you can also ‘bring with you’ other new technologies). We analyze the technology and use creativity techniques to find potential applications. Among other approaches, we will systematically explore applications around the UN sustainable development goals. Prototyping, business model development, and pitching are part of the seminar. Learning Objectives You will be able to explore deep technology venturing opportunities and create new products and services. The pedagogical approach is that of action learning. In a team, you will experience typical challenges and processes related to setting up a new business and develop the corresponding entrepreneurial competences. After completing this course, the course participants will be able to:

• Characterize the core process of Deep Tech Venturing, • Describe their personal core values and competences, and the relationship to the entrepreneur-opportunity nexus, • Use a technology characterization canvas to extract the core characteristics of a technology, • Apply creativity techniques to ideate potential applications, • Use utility analysis approaches to select a promising technology application, • Develop a value proposition based on techniques like the value proposition canvas or the jobs-to-be-done method, • Use approaches of technology impact assessment to implement responsible innovation processes, • Apply advanced business modeling methods to develop a sound business concept, • Develop and deliver a concise presentation (“pitch”) to communicate you project.

Additional information: Alternative exam assessment. The grade consists of the presentation and the written elaboration. Potentially, a ‘project diary’ of the seminar progress may be part of the deliverables (depends on tutor and will be communicated at the kick-off). For a successful course completion, we expect you to submit a Business Plan with the following features:

• Scope: 9000 words, • Sound and clear structure, • Expression and spelling are correct • Complete and correct references, quotations, etc. • Visual elements are chosen appropriately • Documentation and traceability of data acquisition, analysis and evaluation, • Content is developed according to the course instructions.

Furthermore, we expect you to deliver a team Pitch.

• Duration: will be communicated (typically 7 minutes) • Content: Introduction/Purpose; Problem; Solution; Business Model; Prototype; Competition; Management Team; Current Status and next steps, • Layout and form: appropriate choice, • Appearance: appropriate amount of visual elements, • Data: well researched and organized visually • Story Line: is sound; clear and convincing.

Organizational issues The seminar will be conducted in Zoom and/or face-to-face (Detailed information will be available in ILIAS). In the seminar you will work on a project in teams of max. 5 persons. Team applications are welcome but not a prerequisite for participation. The seminars will be held in English.

Industrial Engineering and Management M.Sc. 753 Module Handbook as of 30/09/2021 7 COURSES Course: Statistical Modeling of Generalized Regression Models [T-WIWI-103065]

T 7.409 Course: Statistical Modeling of Generalized Regression Models [T- WIWI-103065]

Responsible: apl. Prof. Dr. Wolf-Dieter Heller Organisation: KIT Department of Economics and Management Part of: M-WIWI-101638 - Econometrics and Statistics I M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2521350 Statistical Modeling of Generalized 2 SWS Lecture Heller Regression Models

Competence Certificate The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation.

Prerequisites None

Recommendation Knowledge of the contents covered by the course "Economics III: Introduction in Econometrics" [2520016]

Below you will find excerpts from events related to this course:

Statistical Modeling of Generalized Regression Models V Lecture (V) 2521350, WS 21/22, 2 SWS, Open in study portal

Content Learning objectives: The student has profound knowledge of generalized regression models. Requirements: Knowledge of the contents covered by the course Economics III: Introduction in Econometrics" [2520016]. Workload: Total workload for 4.5 CP: approx. 135 hours Attendance: 30 hours Preparation and follow-up: 65 hours

Industrial Engineering and Management M.Sc. 754 Module Handbook as of 30/09/2021 7 COURSES Course: Stochastic Calculus and Finance [T-WIWI-103129]

T 7.410 Course: Stochastic Calculus and Finance [T-WIWI-103129]

Responsible: Dr. Mher Safarian Organisation: KIT Department of Economics and Management Part of: M-WIWI-101639 - Econometrics and Statistics II

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2521331 Stochastic Calculus and Finance 2 SWS Lecture Safarian

Competence Certificate The assessment of this course consists of a written examination (§4(2), 1 SPOs, 180 min.).

Prerequisites None

Annotation For more information see http://statistik.econ.kit.edu/

Below you will find excerpts from events related to this course:

Stochastic Calculus and Finance V Lecture (V) 2521331, WS 21/22, 2 SWS, Language: English, Open in study portal

Content Learning objectives: After successful completion of the course students will be familiar with many common methods of pricing and portfolio models in finance. Emphasis we be put on both finance and the theory behind it. Content: The course will provide rigorous yet focused training in stochastic calculus and mathematical finance. Topics to be covered:

1. Stochastic Calculus: Stochastic Processes, Brownian Motion and Martingales, Entropy, Stopping Times, Local martingales, Doob-Meyer Decomposition, Quadratic Variation, Stochastic Integration, Ito Formula, Girsanov Theorem, Jump-diffusion Processes, Stable and Levy processes. 2. Mathematical Finance: Pricing Models, The Black-Scholes Model, State prices and Equivalent Martingale Measure, Complete Markets and Redundant Security Prices, Arbitrage Pricing with Dividends, Term-Structure Models (One Factor Models, Cox-Ingersoll-Ross Model, Affine Models), Term-Structure Derivatives and Hedging, Mortgage-Backed Securities, Derivative Assets (Forward Prices, Future Contracts, American Options, Look-back Options), Incomplete Markets, Markets with Transaction Costs, Optimal Portfolio and Consumption Choice (Stochastic Control and Merton continuous time optimization problem, CAPM), Equilibrium models, Numerical Methods.

Workload: Total workload for 4.5 CP: approx. 135 hours Attendance: 30 hours Preparation and follow-up: 65 hours

Organizational issues Blockveranstaltung, Termine werden über Ilias bekannt gegeben

Literature

• Dynamic Asset Pricing Theory, Third Edition by D. Duffie, Princeton University Press, 1996 • Stochastic Calculus for Finance II: Continuous-Time Models by S. E. Shreve, Springer, 2003 • Stochastic Finance: An Introduction in Discrete Time by H. Föllmer, A. Schied, de Gruyter, 2011 • Methods of Mathematical Finance by I. Karatzas, S. E. Shreve, Springer, 1998 • Markets with Transaction Costs by Yu. Kabanov, M. Safarian, Springer, 2010 • Introduction to Stochastic Calculus Applied to Finance by D.Lamberton, B. Lapeyre, Chapman&Hall,1996

Industrial Engineering and Management M.Sc. 755 Module Handbook as of 30/09/2021 7 COURSES Course: Strategic Finance and Technoloy Change [T-WIWI-110511]

T 7.411 Course: Strategic Finance and Technoloy Change [T-WIWI-110511]

Responsible: Prof. Dr. Martin Ruckes Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 1,5 Grade to a third Each summer term 1

Exams ST 2021 7900268 Strategic Finance and Technoloy Change Ruckes WT 21/22 7900219 Strategic Finance and Technoloy Change Ruckes

Competence Certificate The assessment consists of a written exam (60 min.) according to § 4 paragraph 2 Nr. 1 of the examination regulation. The exam is offered each semester. If there are only a small number of participants registered for the exam, we reserve the right to hold an oral examination instead of a written one.

Prerequisites None

Recommendation Attending the lecture "Financial Management" is strongly recommended.

Industrial Engineering and Management M.Sc. 756 Module Handbook as of 30/09/2021 7 COURSES Course: Strategic Foresight China [T-WIWI-110986]

T 7.412 Course: Strategic Foresight China [T-WIWI-110986]

Responsible: Prof. Dr. Marion Weissenberger-Eibl Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 1

Competence Certificate Alternative exam assessment.

Recommendation Prior attendance of the course Innovation Management [2545015] is recommended.

Industrial Engineering and Management M.Sc. 757 Module Handbook as of 30/09/2021 7 COURSES Course: Strategic Transport Planning [T-BGU-103426]

T 7.413 Course: Strategic Transport Planning [T-BGU-103426]

Responsible: Volker Waßmuth Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 6232808 Strategische Verkehrsplanung 2 SWS Lecture / 🖥 Waßmuth Exams ST 2021 8240103426 Strategic Transport Planning Vortisch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 758 Module Handbook as of 30/09/2021 7 COURSES Course: Strategy and Management Theory: Developments and “Classics” [T-WIWI-106190]

T 7.414 Course: Strategy and Management Theory: Developments and “Classics” [T- WIWI-106190]

Responsible: Prof. Dr. Hagen Lindstädt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103119 - Advanced Topics in Strategy and Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Events

ST 2021 2577921 Strategy and Management Theory: 2 SWS Seminar / 🖥 Lindstädt Developments and "Classics" (Master) WT 21/22 2577921 Strategy and Management Theory: 2 SWS Seminar Lindstädt Developments and "Classics" (Master) Exams ST 2021 7900126 Strategy and Management Theory: Developments and “Classics” Lindstädt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The control of success according to § 4(2), 3 SPO takes place by writing a scientific work and a presentation of the results of the work in the context of a conclusion meeting. Details on the design of the performance review will be announced during the lecture.

Prerequisites None

Recommendation Basic knowledge as conveyed in the bachelor module „Strategy and Organization“ is recommended.

Annotation This course is admission restricted. If you were already admitted to another course in the module “Advanced Topics in Strategy and Management” the participation at this course will be guaranteed.

The course is planned to be held for the first time in the winter term 2017/18.

Below you will find excerpts from events related to this course:

Strategy and Management Theory: Developments and "Classics" (Master) V Seminar (S) 2577921, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 759 Module Handbook as of 30/09/2021 7 COURSES Course: Strategy and Management Theory: Developments and “Classics” [T-WIWI-106190]

Content In this lecture, students discuss and evaluate models in the field of strategic management with a focus on applicability and theory based limitations. Critical examination of current research results will be a substantial part of this course. Learning Objectives: Students

• are able to explain and evaluate theoretical approaches and models in the field of strategic management and can illustrate them by tangible examples • learn to express their position in structured discussions

Recommendations: Basic knowledge as conveyed in the bachelor module "Strategy and Organization" is recommended. Workload: The total workload for this course is approximately 90 hours. Lecture: 15 hours Preparation of lecture: 75 hours Exam preparation: n/a Assessment: The control of success according to § 4(2), 3 SPO takes place by writing a scientific work and a presentation of the results of the work in the context of a final meeting. Details on the design of the success control will be announced during the lecture. Note: This course is admission restricted. If you were already admitted to another course in the module “Advanced Topics in Strategy and Management” the participation at this course will be guaranteed. Further information on the application process can be found on the IBU website. The examinations are offered at least every second semester, so that the entire module can be completed in two semesters.

Organizational issues siehe Homepage

Strategy and Management Theory: Developments and "Classics" (Master) V Seminar (S) 2577921, WS 21/22, 2 SWS, Language: German, Open in study portal

Content In this lecture, students discuss and evaluate models in the field of strategic management with a focus on applicability and theory based limitations. Critical examination of current research results will be a substantial part of this course. Learning Objectives: Students

• are able to explain and evaluate theoretical approaches and models in the field of strategic management and can illustrate them by tangible examples • learn to express their position in structured discussions

Recommendations: Basic knowledge as conveyed in the bachelor module "Strategy and Organization" is recommended. Workload: The total workload for this course is approximately 90 hours. Lecture: 15 hours Preparation of lecture: 75 hours Exam preparation: n/a Assessment: The control of success according to § 4(2), 3 SPO takes place by writing a scientific work and a presentation of the results of the work in the context of a final meeting. Details on the design of the success control will be announced during the lecture. Note: This course is admission restricted. If you were already admitted to another course in the module “Advanced Topics in Strategy and Management” the participation at this course will be guaranteed. Further information on the application process can be found on the IBU website. The examinations are offered at least every second semester, so that the entire module can be completed in two semesters.

Industrial Engineering and Management M.Sc. 760 Module Handbook as of 30/09/2021 7 COURSES Course: Strategy and Management Theory: Developments and “Classics” [T-WIWI-106190]

Organizational issues siehe Homepage

Industrial Engineering and Management M.Sc. 761 Module Handbook as of 30/09/2021 7 COURSES Course: Structural and Phase Analysis [T-MACH-102170]

T 7.415 Course: Structural and Phase Analysis [T-MACH-102170]

Responsible: Dr. Manuel Hinterstein Dr.-Ing. Susanne Wagner Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events WT 21/22 2125763 Structural and phase analysis 2 SWS Lecture / 🧩 Wagner, Hinterstein Exams ST 2021 76-T-MACH-102170 Structural and Phase Analysis Wagner, Hinterstein WT 21/22 76-T-MACH-102170 Structural and Phase Analysis Wagner, Hinterstein

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination

Prerequisites none

Below you will find excerpts from events related to this course:

Structural and phase analysis V Lecture (V) 2125763, WS 21/22, 2 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Literature

1. Moderne Röntgenbeugung - Röntgendiffraktometrie für Materialwissenschaftler, Physiker und Chemiker, Spieß, Lothar / Schwarzer, Robert / Behnken, Herfried / Teichert, Gerd B.G. Teubner Verlag 2005 2. H. Krischner: Einführung in die Röntgenfeinstrukturanalyse. Vieweg 1990. 3. B.D. Cullity and S.R. Stock: Elements of X-ray diffraction. Prentice Hall New Jersey, 2001.

Industrial Engineering and Management M.Sc. 762 Module Handbook as of 30/09/2021 7 COURSES Course: Structural Ceramics [T-MACH-102179]

T 7.416 Course: Structural Ceramics [T-MACH-102179]

Responsible: Prof. Dr. Michael Hoffmann Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each summer term 1

Events

ST 2021 2126775 Structural Ceramics 2 SWS Lecture / 🖥 Hoffmann Exams ST 2021 76-T-MACH-102179 Structural Ceramics Hoffmann, Wagner, Schell WT 21/22 76-T-MACH-102179 Structural Ceramics Hoffmann, Wagner, Schell

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral examination, 20 min

Prerequisites none

Below you will find excerpts from events related to this course:

Structural Ceramics V Lecture (V) 2126775, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature W.D. Kingery, H.K. Bowen, D.R. Uhlmann, "Introduction to Ceramics", John Wiley & Sons, New York, (1976)

E. Dörre, H. Hübner, "Aluminia", Springer Verlag Berlin, (1984)

M. Barsoum, "Fundamentals of Ceramics", McGraw-Hill Series in Material Science and Enginewering (2003)

Industrial Engineering and Management M.Sc. 763 Module Handbook as of 30/09/2021 7 COURSES Course: Superhard Thin Film Materials [T-MACH-102103]

T 7.417 Course: Superhard Thin Film Materials [T-MACH-102103]

Responsible: apl. Prof. Dr. Sven Ulrich Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 3

Events

WT 21/22 2177618 Superhard Thin Film Materials 2 SWS Lecture / 🗣 Ulrich Exams ST 2021 76-T-MACH-102103 Superhard Thin Film Materials Ulrich

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral examination (ca. 30 Minuten)

Prerequisites none

Below you will find excerpts from events related to this course:

Superhard Thin Film Materials V Lecture (V) 2177618, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Industrial Engineering and Management M.Sc. 764 Module Handbook as of 30/09/2021 7 COURSES Course: Superhard Thin Film Materials [T-MACH-102103]

Content oral examination (about 30 min), no tools or reference materials Teaching Content: Introduction

Basics

Plasma diagnostics

Particle flux analysis

Sputtering and ion implantation

Computer simulations

Properties of materials, thin film deposition technology, thin film analysis and modelling of superhard materials

Amorphous hydrogenated carbon

Diamond like carbon

Diamond

Cubic Boronnitride

Materials of the system metall-boron-carbon-nitrogen-silicon regular attendance: 22 hours self-study: 98 hours Superhard materials are solids with a hardness higher than 4000 HV 0,05. The main topics of this lecture are modelling, deposition, characterization and application of superhard thin film materials. Recommendations: none

Organizational issues Falls die Vorlesung online stattfinden muss, bitte um Anmeldung unter [email protected] bis zum 10.10.21. Den entsprechenden MS Teams Link erhalten Sie dann per E-Mail am 11.10.21.

Literature G. Kienel (Herausgeber): Vakuumbeschichtung 1 - 5, VDI Verlag, Düsseldorf, 1994

Abbildungen und Tabellen werden verteilt; Copies with figures and tables will be distributed

Industrial Engineering and Management M.Sc. 765 Module Handbook as of 30/09/2021 7 COURSES Course: Supplement Enterprise Information Systems [T-WIWI-110346]

T 7.418 Course: Supplement Enterprise Information Systems [T-WIWI-110346]

Responsible: Prof. Dr. Andreas Oberweis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each term 1

Competence Certificate The assessment of this course is a written or (if necessary) oral examination. Depending on the particular course associated with this placeholder a bonus on the examination grade is possible.

Prerequisites None

Annotation This course can be used in particular for the acceptance of external courses whose content is in the broader area of applied informatics, but is not equivalent to another course of this topic.

Industrial Engineering and Management M.Sc. 766 Module Handbook as of 30/09/2021 7 COURSES Course: Supplement Software- and Systemsengineering [T-WIWI-110372]

T 7.419 Course: Supplement Software- and Systemsengineering [T-WIWI-110372]

Responsible: Prof. Dr. Andreas Oberweis Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each term 1

Competence Certificate The assessment of this course is a written or (if necessary) oral examination. Depending on the particular course associated with this placeholder a bonus on the examination grade is possible.

Prerequisites None

Annotation This course can be used in particular for the acceptance of external courses whose content is in the broader area of software and systems engineering, but cannot assigned to another course of this topic.

Industrial Engineering and Management M.Sc. 767 Module Handbook as of 30/09/2021 7 COURSES Course: Supplementary Claim Management [T-BGU-103428]

T 7.420 Course: Supplementary Claim Management [T-BGU-103428]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101888 - Project Management in Construction

Type Credits Grading scale Recurrence Version Oral examination 1,5 Grade to a third Each summer term 1

Events

ST 2021 6241811 Nachtragsmanagement 1 SWS Lecture / 🖥 Haghsheno Exams ST 2021 8240103428 Supplementary Claim Management Haghsheno

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 768 Module Handbook as of 30/09/2021 7 COURSES Course: Supply Chain Management in the Automotive Industry [T-WIWI-102828]

T 7.421 Course: Supply Chain Management in the Automotive Industry [T- WIWI-102828]

Responsible: Tilman Heupel Hendrik Lang Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each winter term 1

Events

WT 21/22 2581957 Supply Chain Management in the 2 SWS Lecture / 🖥 Heupel, Lang automotive industry Exams ST 2021 7981957 Supply Chain Management in the Automotive Industry Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral (30 minutes) or written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (examination of another type, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Supply Chain Management in the automotive industry V Lecture (V) 2581957, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content

• Automotive industry significance • The automotive supply chain • Adding value structures of the automotive supply chain and mastering of the production systems as factors of success in the SCM • Strategic procurement logistics • Risk management • Quality engineering and management in the automotive supply chain • Cost engineering and management in the automotive supply chain • Purchasing (Supplier selection, contract management) • Performance measurement of the supply chain • Organization

Organizational issues Blockveranstaltung, siehe Homepage

Literature Wird in der Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 769 Module Handbook as of 30/09/2021 7 COURSES Course: Supply Chain Management with Advanced Planning Systems [T-WIWI-102763]

T 7.422 Course: Supply Chain Management with Advanced Planning Systems [T- WIWI-102763]

Responsible: Claus J. Bosch Dr. Mathias Göbelt Organisation: KIT Department of Economics and Management Part of: M-WIWI-101412 - Industrial Production III M-WIWI-101471 - Industrial Production II

Type Credits Grading scale Recurrence Version Written examination 3,5 Grade to a third Each summer term 1

Events

ST 2021 2581961 Supply Chain Management with 2 SWS Lecture / 🖥 Göbelt, Bosch Advanced Planning Systems Exams ST 2021 7981961 Supply Chain Management with Advanced Planning Systems Schultmann

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment consists of an oral (30 minutes) or written exam (60 minutes) (following §4(2) of the examination regulation). The exam takes place in every semester. Re-examinations are offered at every ordinary examination date. Depending on the respective pandemic situation, the exam may be offered as an open book exam (alternative exam assessment, following §4(2), 3 of the examination regulation).

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Supply Chain Management with Advanced Planning Systems V Lecture (V) 2581961, SS 2021, 2 SWS, Language: English, Open in study portal Online

Industrial Engineering and Management M.Sc. 770 Module Handbook as of 30/09/2021 7 COURSES Course: Supply Chain Management with Advanced Planning Systems [T-WIWI-102763]

Content This lecture deals with supply chain management from a practitioner’s perspective with a special emphasis Advanced Planning Systems (APS) and the planning domain. The software solution SAP SCM, one of the most widely used Advanced Planning Systems, is used as an example to show functionality and application of an APS in practice. First, the term supply chain management is defined and its scope is determined. Methods to analyze supply chains as well as indicators to measure supply chains are derived. Second, the structure of an APS (advanced planning system) is discussed in a generic way. Later in the lecture, the software solution SAP SCM is mapped to this generic structure. The individual planning tasks and software modules (demand planning, supply network planning / sales & operations planning, production planning / detailed scheduling, deployment, transportation planning, global available-to-promise) are presented by discussing the relevant business processes, providing academic background, describing typical planning processes and showing the user interface and user-related processes in the software solution. At the end of the lecture, implementation methodologies and project management approaches for SAP SCM are covered. Contents 1. Introduction to Supply Chain Management 1.1. Supply Chain Management Fundamentals 1.2. Supply Chain Management Analytics 2. Structure of Advanced Planning Systems 3. SAP SCM 3.1. Introduction / SCM Solution Map 3.2. Demand Planning 3.3. Supply Network Planning / Sales & Operations Planning 3.4. Production Planning and Detailed Scheduling 3.5. Deployment 3.6. Transportation Planning / Global Available to Promise 3.7. Cloud-based Supply Chain Planning 4. SAP SCM in Practice 4.1. Project Management and Implementation 4.2. SAP Implementation Methodology

Literature will be announced in the course

Industrial Engineering and Management M.Sc. 771 Module Handbook as of 30/09/2021 7 COURSES Course: Sustainability in Mobility Systems [T-BGU-111057]

T 7.423 Course: Sustainability in Mobility Systems [T-BGU-111057]

Responsible: Dr.-Ing. Martin Kagerbauer Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each term 1

Events WT 21/22 6232906 Sustainability in Mobility Systems 2 SWS Lecture Kagerbauer, Plötz, Gnann Exams ST 2021 8245111057 Sustainability in Mobility Systems Kagerbauer

Competence Certificate written exam, 60 min., computer-based

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 772 Module Handbook as of 30/09/2021 7 COURSES Course: Systematic Materials Selection [T-MACH-100531]

T 7.424 Course: Systematic Materials Selection [T-MACH-100531]

Responsible: Dr.-Ing. Stefan Dietrich Prof. Dr.-Ing. Volker Schulze Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 4

Events

ST 2021 2174576 Systematic Materials Selection 3 SWS Lecture / 🖥 Dietrich ST 2021 2174577 Übungen zu 'Systematische 1 SWS Practice / 🖥 Dietrich, Mitarbeiter Werkstoffauswahl' Exams ST 2021 76-T-MACH-100531 Systematic Materials Selection Dietrich

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment is carried out as a written exam of 2 h.

Prerequisites None.

Recommendation It is strongly recommended to pass the two courses "Materials Science I" (T-MACH-102078) and "Materials Science II" (T- MACH-102079).

Below you will find excerpts from events related to this course:

Systematic Materials Selection V Lecture (V) 2174576, SS 2021, 3 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 773 Module Handbook as of 30/09/2021 7 COURSES Course: Systematic Materials Selection [T-MACH-100531]

Content Important aspects and criteria of materials selection are examined and guidelines for a systematic approach to materials selection are deeloped. The following topics are covered:

• Information and introduction • Necessary basics of materials • Selected methods / approaches of the material selection • Examples for material indices and materials property charts • Trade-off and shape factors • Sandwich materials and composite materials • High temperature alloys • Regard of process influences • Material selection for production lines • Incorrect material selection and the resulting consequences • Abstract and possibility to ask questions learning objectives: The students are able to select the best material for a given application. They are proficient in selecting materials on base of performance indices and materials selection charts. They can identify conflicting objectives and find sound compromises. They are aware of the potential and the limits of hybrid material concepts (composites, bimaterials, foams) and can determine whether following such a concept yields a useful benefit. requirements: WiIng SPO 2007 (B.Sc.) The course Material Science I [21760] has to be completed beforehand. WiIng (M.Sc.) The course Material Science I [21760] has to be completed beforehand. workload: The workload for the lecture is 120 h per semester and consists of the presence during the lecture (30 h) as well as preparation and rework time at home (30 h) and preparation time for the oral exam (60 h).

Literature Vorlesungsskriptum; Übungsblätter; Lehrbuch: M.F. Ashby, A. Wanner (Hrsg.), C. Fleck (Hrsg.); Materials Selection in Mechanical Design: Das Original mit Übersetzungshilfen Easy-Reading-Ausgabe, 3. Aufl., Spektrum Akademischer Verlag, 2006 ISBN: 3-8274-1762-7 Lecture notes; Problem sheets; Textbook: M.F. Ashby, A. Wanner (Hrsg.), C. Fleck (Hrsg.); Materials Selection in Mechanical Design: Das Original mit Übersetzungshilfen Easy-Reading-Ausgabe, 3. Aufl., Spektrum Akademischer Verlag, 2006 ISBN: 3-8274-1762-7

Industrial Engineering and Management M.Sc. 774 Module Handbook as of 30/09/2021 7 COURSES Course: Tax Law [T-INFO-111437]

T 7.425 Course: Tax Law [T-INFO-111437]

Responsible: Detlef Dietrich Organisation: KIT Department of Informatics Part of: M-INFO-101216 - Private Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Industrial Engineering and Management M.Sc. 775 Module Handbook as of 30/09/2021 7 COURSES Course: Technologies for Innovation Management [T-WIWI-102854]

T 7.426 Course: Technologies for Innovation Management [T-WIWI-102854]

Responsible: Dr. Daniel Jeffrey Koch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Each winter term 2

Events

WT 21/22 2545106 Technologies for Innovation 2 SWS Block / 🖥 Koch Management

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Presentation and individual paper (ca. 15 pages) as alternative exam assessment.

Prerequisites None

Recommendation Prior attendance of the course Innovationsmanagement: Konzepte, Strategien und Methoden is recommended.

Below you will find excerpts from events related to this course:

Technologies for Innovation Management V Block (B) 2545106, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Content The seminar “Technologies for Innovation Management” will focus on the early phase or fuzzy front end in innovation management. Technologies can be of great importance here, above all in the supply of information. In globally distributed R & D organizations, it is necessary to collect as much information as possible on new technological developments in the early phase of the innovation process. Information and communication technologies can be supported.

Literature Werden in der ersten Veranstaltung bekannt gegeben.

Industrial Engineering and Management M.Sc. 776 Module Handbook as of 30/09/2021 7 COURSES Course: Technology Assessment [T-WIWI-102858]

T 7.427 Course: Technology Assessment [T-WIWI-102858]

Responsible: Dr. Daniel Jeffrey Koch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third see Annotations 1

Competence Certificate Alternative exam assessment.

Prerequisites None

Recommendation Prior attendance of the course Innovation Management is recommended.

Annotation See German version.

Industrial Engineering and Management M.Sc. 777 Module Handbook as of 30/09/2021 7 COURSES Course: Telecommunication and Internet Economics [T-WIWI-102713]

T 7.428 Course: Telecommunication and Internet Economics [T-WIWI-102713]

Responsible: Prof. Dr. Kay Mitusch Organisation: KIT Department of Economics and Management Part of: M-WIWI-101406 - Network Economics M-WIWI-101409 - Electronic Markets

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2561232 Telecommunication and Internet 2 SWS Lecture Mitusch Economics WT 21/22 2561233 Übung zu Telekommunikations- und 1 SWS Practice Mitusch, Wisotzky, Internetökonomie Corbo Exams ST 2021 7900276 Telecommunication and Internet Economics Mitusch

Competence Certificate Result of success is made by a 60 minutes written examination during the semester break (according to §4(2), 1 ERSC). Examination is offered every semester and can be retried at any regular examination date.

Prerequisites None

Recommendation Basic knowledge and skills of microeconomics from undergraduate studies (bachelor’s degree) are expected. Particularly helpful but not necessary: Industrial Economics. Prior attendance of the lecture „Competition in Networks“ [26240] or "Industrial Organisation" is helpful in any case but not considered a formal precondition. The english taught course "Communications Economics" is complementary and recommendet for anyone interested in the sector.

Annotation Due to the research semester of Prof. Mitusch the course for partial performance will not be offered in the winter semester 2020/2021. An examination will be offered in each semester.

Below you will find excerpts from events related to this course:

Telecommunication and Internet Economics V Lecture (V) 2561232, WS 21/22, 2 SWS, Language: German, Open in study portal

Literature J.-J. Laffont, J. Tirole (2000): Competition in Telecommunications, MIT Press. Zarnekow, Wulf, Bronstaedt (2013): Internetwirtschaft: Das Geschäft des Datentransports im Internet. Weitere Literatur wird in den einzelnen Veranstaltungen angegeben

Industrial Engineering and Management M.Sc. 778 Module Handbook as of 30/09/2021 7 COURSES Course: Telecommunications Law [T-INFO-101309]

T 7.429 Course: Telecommunications Law [T-INFO-101309]

Responsible: Dr. Yoan Hermstrüwer Organisation: KIT Department of Informatics Part of: M-INFO-101217 - Public Business Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 1

Events

ST 2021 24632 Telekommunikationsrecht 2 SWS Lecture / 🖥 Hermstrüwer Exams ST 2021 7500085 Telecommunications Law Eichenhofer

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 779 Module Handbook as of 30/09/2021 7 COURSES Course: Tendering, Planning and Financing in Public Transport [T-BGU-101005]

T 7.430 Course: Tendering, Planning and Financing in Public Transport [T-BGU-101005]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each term 1

Events

ST 2021 6232807 Wettbewerb, Planung und 2 SWS Lecture / 🖥 Pischon Finanzierung im ÖPNV Exams ST 2021 8245101005 Tendering, Planning and Financing in Public Transport Vortisch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, appr. 20 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 780 Module Handbook as of 30/09/2021 7 COURSES Course: The negotiation of open innovation [T-WIWI-110867]

T 7.431 Course: The negotiation of open innovation [T-WIWI-110867]

Responsible: Dr. Daniela Beyer Organisation: KIT Department of Economics and Management Part of: M-WIWI-101507 - Innovation Management M-WIWI-101507 - Innovation Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Once 1

Competence Certificate Non exam assessment. The following aspects are included in the evaluation:

• Exposé of the seminar paper (15%) • Preparation of the methodology (15%) (interview guide, quantitative survey, etc.) • informed participation and preparation of the simulation game (20%) • written elaboration (50%).

Prerequisites None

Recommendation Prior attendance of the course Innovation Management [2545015] is recommended.

Industrial Engineering and Management M.Sc. 781 Module Handbook as of 30/09/2021 7 COURSES Course: Tires and Wheel Development for Passenger Cars [T-MACH-102207]

T 7.432 Course: Tires and Wheel Development for Passenger Cars [T-MACH-102207]

Responsible: Hon.-Prof. Dr. Günter Leister Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 2114845 Tires and Wheel Development 2 SWS Lecture / 🖥 Leister for Passenger Cars Exams ST 2021 76-T-MACH-102207 Tires and Wheel Development for Passenger Cars Leister WT 21/22 76-T-MACH-102207 Tires and Wheel Development for Passenger Cars Leister

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Examination

Duration: 30 up to 40 minutes

Auxiliary means: none

Prerequisites none

Below you will find excerpts from events related to this course:

Tires and Wheel Development for Passenger Cars V Lecture (V) 2114845, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content

1. The role of the tires and wheels in a vehicle 2. Geometrie of Wheel and tire, Package, load capacity and endurance, Book of requirement 3. Mobility strategy, Minispare, runflat systems and repair kit. 4. Project management: Costs, weight, planning, documentation 5. Tire testing and tire properties 6. Wheel technology incuding Design and manifacturing methods, Wheeltesting 7. Tire presssure: Indirect and direct measuring systems 8. Tire testing subjective and objective

Learning Objectives: The students are informed about the interactions of tires, wheels and chassis. They have an overview of the processes regarding the tire and wheel development. They have knowledge of the physical relationships.

Organizational issues Voraussichtliche Termine, nähere Informationen und eventuelle Terminänderungen: siehe Institutshomepage.

Literature Manuskript zur Vorlesung Manuscript to the lecture

Industrial Engineering and Management M.Sc. 782 Module Handbook as of 30/09/2021 7 COURSES Course: Topics in Experimental Economics [T-WIWI-102863]

T 7.433 Course: Topics in Experimental Economics [T-WIWI-102863]

Responsible: Prof. Dr. Johannes Philipp Reiß Organisation: KIT Department of Economics and Management Part of: M-WIWI-101505 - Experimental Economics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Irregular 1

Competence Certificate The assessment consists of a written exam (following §4(2), 1 of the examination regulation).

Prerequisites None

Recommendation Basic knowledge of Experimental Economics is assumed. Therefore, it is strongly recommended to attend the course Experimental Economics beforehand.

Annotation The course is offered in summer 2020 for the next time, not in summer 2018.

Industrial Engineering and Management M.Sc. 783 Module Handbook as of 30/09/2021 7 COURSES Course: Trademark and Unfair Competition Law [T-INFO-101313]

T 7.434 Course: Trademark and Unfair Competition Law [T-INFO-101313]

Responsible: Dr. Yvonne Matz Organisation: KIT Department of Informatics Part of: M-INFO-101215 - Intellectual Property Law

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each term 1

Events

WT 21/22 24136 Trademark and Unfair Competition 2 SWS Lecture / 🖥 Matz Law Exams ST 2021 7500051 Trademark and Unfair Competition Law Dreier, Matz

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Industrial Engineering and Management M.Sc. 784 Module Handbook as of 30/09/2021 7 COURSES Course: Traffic Engineering [T-BGU-101798]

T 7.435 Course: Traffic Engineering [T-BGU-101798]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 6232703 Straßenverkehrstechnik 2 SWS Lecture / Practice ( Vortisch, Mitarbeiter/ innen Exams ST 2021 8240101798 Traffic Engineering Vortisch

Prerequisites None

Recommendation None

Annotation None

Below you will find excerpts from events related to this course:

Straßenverkehrstechnik V Lecture / Practice (VÜ) 6232703, WS 21/22, 2 SWS, Open in study portal

Content The lecture teaches basic principles and skills necessary to understand the methods and tools of traffic engineering, including theoretical background information as well as application of the relevant manuals and guidelines.

• Applications of traffic engineering: design of infrastructure and traffic control • Description and analysis of traffic flow: Basic principles (kinematics, measurements of traffic flows, microscopic and macroscopic traffic parameters, Fundamental diagram) • Methods in traffic engineering: travel demand structure, traffic flow characteristics, Queuing theory, Level-of-Service- concepts • Capacity analysis for intersections with and without signalisation (entries and weaving sections, roundabouts and signal- controlled intersection), • Backgrounds and application of the German Highway Capacity Manual • Design of signal control (Fixed time signal controls, vehicle actuated control, „green waves“, network control, progressive signal systems) including public transport (prioritizing systems) and other transport modes (bicycles, pedestrians) • Introduction to traffic management (for more detailed information see lecture “Transport Management and Transport Telematics [6232802])

Industrial Engineering and Management M.Sc. 785 Module Handbook as of 30/09/2021 7 COURSES Course: Traffic Flow Simulation [T-BGU-101800]

T 7.436 Course: Traffic Flow Simulation [T-BGU-101800]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events ST 2021 6232804 Simulation von Verkehr 2 SWS Lecture / Practice ( / Vortisch, Mitarbeiter/ 🖥 innen Exams ST 2021 8240101800 Traffic Flow Simulation Vortisch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Below you will find excerpts from events related to this course:

Simulation von Verkehr V Lecture / Practice (VÜ) 6232804, SS 2021, 2 SWS, Language: German, Open in study portal Online

Content The lecture teaches basic principles and application of traffic flow simulation tools in traffic engineering and transport planning. This includes application of simulation software as well as the knowledge about models and how to deal with the stochastic nature of simulation results. The lecture teaches the application of microscopic traffic flow simulation using the simulation software PTV Vissim, combining practical and theoretical aspects. Theoretical aspects include car following models, lane changing behavior and route choice models. Calibration and validation of the models will be explained and demonstrated by practical examples. Furthermore, German and American guidelines for the application of simulation models will be discussed and background information will be given. In addition to the lectures, students will build a microscopic traffic flow model of an intersection. The aim is to practically apply what has been learned and to deepen the modeling knowledge. Coordination: Weyland, Claude

Industrial Engineering and Management M.Sc. 786 Module Handbook as of 30/09/2021 7 COURSES Course: Traffic Management and Transport Telematics [T-BGU-101799]

T 7.437 Course: Traffic Management and Transport Telematics [T-BGU-101799]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events ST 2021 6232802 Verkehrsmanagement und 2 SWS Lecture / Practice ( / Vortisch Telematik 🖥 Exams ST 2021 8240101799 Traffic Management and Transport Telematics Vortisch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 787 Module Handbook as of 30/09/2021 7 COURSES Course: Transport Economics [T-WIWI-100007]

T 7.438 Course: Transport Economics [T-WIWI-100007]

Responsible: Prof. Dr. Kay Mitusch Dr. Eckhard Szimba Organisation: KIT Department of Economics and Management Part of: M-WIWI-101406 - Network Economics M-WIWI-101468 - Environmental Economics M-WIWI-101485 - Transport Infrastructure Policy and Regional Development

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each summer term 1

Events

ST 2021 2560230 Transport Economics Lecture / 🖥 Mitusch, Szimba ST 2021 2560231 Übung zu Transportökonomie 1 SWS Practice / 🖥 Mitusch, Szimba, Wisotzky Exams ST 2021 7900275 Transport Economics Mitusch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The assessment is made by a 60 minutes written examination during the semester break (according to §4(2), 1 ERSC). Examination is offered every semester and can be retried at any regular examination date.

Below you will find excerpts from events related to this course:

Transport Economics V Lecture (V) 2560230, SS 2021, SWS, Language: German, Open in study portal Online

Content The course shall provide an overview of transport economics. It will be demonstrated, using new microeconomic models, which impacts regulation and pricing in transport have on the economic actions of individuals and logisticans and which benefits and costs apply. The following topics will be discussed:

• demand and supply in transport • empirical analysis of transport demand • assessment of transport infrastructure projects • external effects in transport • transport policy • cost structures of transport infrastructure • Project evaluation from the perspective of the public sector

Literature Literatur: Aberle, G: Transportwirtschaft: einzelwirtschaftliche und gesamtwirtschaftliche Grundlagen München; Wien: Oldenbourg, 2003. Blauwens, G., De Baere, P. and Van der Voorde, E. (2006): Transport Economics. Frerich, J; Müller, G: Europäische Verkehrspolitik, Landverkehrspolitik München; Wien: Oldenbourg, 2004. Dasgupta, A, Pearce, D (1972): Cost-Benefit Analysis, MacMillan, London. Europäische Kommission (2008): Guide to Cost Benefit Analysis of Investment Projects, online unter http://ec.europa.eu/ regional_policy/sources/Ben-Akiva, M., Meerseman, H., and Van de Voorde, E. (2008): Recent developments in transport modelling: Lessons for the freight sector. Ortúzar, J. d. D. and Willumsen, L. (1990): Modelling Transport.

Industrial Engineering and Management M.Sc. 788 Module Handbook as of 30/09/2021 7 COURSES Course: Transportation Data Analysis [T-BGU-100010]

T 7.439 Course: Transportation Data Analysis [T-BGU-100010]

Responsible: Dr.-Ing. Martin Kagerbauer Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101065 - Transportation Modelling and Traffic Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 6232901 Empirische Daten im 2 SWS Lecture / Practice ( Kagerbauer Verkehrswesen Exams ST 2021 8245100010 Transportation Data Analysis Kagerbauer

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 789 Module Handbook as of 30/09/2021 7 COURSES Course: Transportation Systems [T-BGU-106610]

T 7.440 Course: Transportation Systems [T-BGU-106610]

Responsible: Prof. Dr.-Ing. Peter Vortisch Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101064 - Fundamentals of Transportation

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 6200406 Transportation Systems 2 SWS Lecture / 🖥 Vortisch Exams ST 2021 8230106610 Transportation Systems Vortisch

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 790 Module Handbook as of 30/09/2021 7 COURSES Course: Tunnel Construction and Blasting Engineering [T-BGU-101846]

T 7.441 Course: Tunnel Construction and Blasting Engineering [T-BGU-101846]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101110 - Process Engineering in Construction

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events WT 21/22 6241903 Tunnelbau und Sprengtechnik 2 SWS Lecture / 🧩 Haghsheno, Scheuble, Matz Exams ST 2021 8240101846 Tunnel Construction and Blasting Engineering Haghsheno

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 791 Module Handbook as of 30/09/2021 7 COURSES Course: Turnkey Construction I [T-BGU-111313]

T 7.442 Course: Turnkey Construction I [T-BGU-111313]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction M-BGU-101888 - Project Management in Construction

Type Credits Grading scale Recurrence Expansion Version Oral examination 1,5 Grade to a third Each summer term 1 terms 1

Events

ST 2021 6241808 Schlüsselfertiges Bauen I 1 SWS Lecture / 🖥 Teizer Exams ST 2021 8240111313 Turnkey Construction I Haghsheno

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Prerequisites None

Recommendation None

Annotation None

Industrial Engineering and Management M.Sc. 792 Module Handbook as of 30/09/2021 7 COURSES Course: Turnkey Construction II [T-BGU-111210]

T 7.443 Course: Turnkey Construction II [T-BGU-111210]

Responsible: Prof. Dr.-Ing. Shervin Haghsheno Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-101884 - Lean Management in Construction M-BGU-101888 - Project Management in Construction M-BGU-105592 - Digitalization in Facility Management

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each term 1

Events

ST 2021 6241809 Schlüsselfertiges Bauen II 2 SWS Lecture / 🖥 Teizer, Schneider Exams ST 2021 8240111210 Turnkey Construction II Haghsheno

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam, appr. 20 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 793 Module Handbook as of 30/09/2021 7 COURSES Course: Tutorial Global Production [T-MACH-110981]

T 7.444 Course: Tutorial Global Production [T-MACH-110981]

Responsible: Prof. Dr.-Ing. Gisela Lanza Organisation: KIT Department of Mechanical Engineering Part of: M-MACH-101282 - Global Production and Logistics M-MACH-101284 - Specialization in Production Engineering M-MACH-105455 - Strategic Design of Modern Production Systems

Type Credits Grading scale Recurrence Version Completed coursework 1 pass/fail Each winter term 2

Events WT 21/22 2149611 Tutorial Global Production 1 SWS Practice / 🧩 Lanza Exams ST 2021 76-T-MACH-110981 Tutorial Global Production Lanza

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Alternative achievement (ungraded). Successful completion of the case studies required. Further information will be announced in the course Global Production.

Below you will find excerpts from events related to this course:

Tutorial Global Production V Practice (Ü) 2149611, WS 21/22, 1 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 794 Module Handbook as of 30/09/2021 7 COURSES Course: Tutorial Global Production [T-MACH-110981]

Content The exercise serves as a supplement to the lecture Global Production and deals with the practical implementation of the management of global production networks of manufacturing companies. The contents conveyed in the lecture are put into practice in the exercise and supplemented by lectures from industry and research. The exercise initially builds on a basic understanding of the influencing factors and challenges of global production. Common methods and procedures for planning, designing and managing global production networks are applied in online case studies based on the restructuring of a fictitious company. According to the lecture, the exercise is divided into three aspects: production strategy, network configuration and network management. First of all, the exercise shows the connections between the company strategy and the production strategy and highlights the tasks necessary to define a production strategy. Subsequently, in the context of the design of global production networks, methods for site selection, site-specific adaptation of product design and production technology as well as for the establishment of a new production site and the adaptation of existing production networks to changing conditions are taught. With regard to the management of global production networks, the exercise primarily addresses the topic of procurement and supplier management in greater depth. The topics in detail are:

• Production strategies for global production Networks • From corporate strategy to production strategy • Tasks of the production strategy (product portfolio management, recycling management, vertical integration planning, production-related research and development) • Design of global production Networks • Ideal-typical network structures • Planning process for designing the network structure • Adaptation of the network structure • Choice of Location • Production adjustment to suit the Location • Management of global production Networks • Coordination in global production Networks • Procurement process

Learning Outcomes

The students …

• are able to apply defined procedures for site selection and evaluate a site decision with the help of different Methods. • are capable of selecting adequate design options for site-specific production and product design on a case-specific basis. • can explain the central elements of the planning process when setting up a new production site. • are capable of applying the methods for the design and layout of global production networks to individual Company problems. • are able to show the challenges and potentials of the corporate divisions sales, procurement and research and development on a global level.

Workload: e-Learning: ~ 20 h regular attendence: ~ 10 h self-study: covered in the course of the lecture.

Organizational issues Start: 05.11.2021 Übungstermine alle zwei Wochen freitags 16:00 Uhr - 17:30 Uhr. Lectures every other week on Fridays, 16:00 h - 17:30 h.

Industrial Engineering and Management M.Sc. 795 Module Handbook as of 30/09/2021 7 COURSES Course: Upgrading of Existing Buildings [T-BGU-111218]

T 7.445 Course: Upgrading of Existing Buildings [T-BGU-111218]

Responsible: Prof. Dr.-Ing. Kunibert Lennerts Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-105597 - Facility Management in Hospitals

Type Credits Grading scale Recurrence Expansion Version Written examination 3 Grade to a third Each term 1 terms 1

Events WT 21/22 6200005 KOPIE Bauen im Bestand 3 SWS Lecture / Practice ( / Lennerts, Schneider 🖥 WT 21/22 6240901 Bauen im Bestand 3 SWS Lecture / Practice ( Lennerts, Schneider Exams ST 2021 8240111218 Upgrading of Existing Buildings Lennerts, Schneider

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 60 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 796 Module Handbook as of 30/09/2021 7 COURSES Course: Urban Water Infrastructure and Management [T-BGU-106600]

T 7.446 Course: Urban Water Infrastructure and Management [T-BGU-106600]

Responsible: PD Dr.-Ing. Stephan Fuchs Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-104448 - Urban Water Technologies

Type Credits Grading scale Recurrence Version Written examination 6 Grade to a third Each term 2

Events WT 21/22 6223701 Urban Water Infrastructure and 4 SWS Lecture / Practice ( / Fuchs Management 🧩 Exams ST 2021 8244106600 Urban Water Infrastructure and Management Fuchs

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate written exam, 60 min.

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 797 Module Handbook as of 30/09/2021 7 COURSES Course: Valuation [T-WIWI-102621]

T 7.447 Course: Valuation [T-WIWI-102621]

Responsible: Prof. Dr. Martin Ruckes Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101482 - Finance 1 M-WIWI-101483 - Finance 2 M-WIWI-101510 - Cross-Functional Management Accounting

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Each winter term 1

Events WT 21/22 2530212 Valuation 2 SWS Lecture Ruckes WT 21/22 2530213 Übungen zu Valuation 1 SWS Practice Ruckes, Luedecke Exams ST 2021 7900072 Valuation Ruckes WT 21/22 7900057 Valuation Ruckes

Competence Certificate See German version.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Valuation V Lecture (V) 2530212, WS 21/22, 2 SWS, Language: English, Open in study portal

Literature Weiterführende Literatur Titman/Martin (2013): Valuation - The Art and Science of Corporate Investment Decisions, 2nd. ed. Pearson International.

Industrial Engineering and Management M.Sc. 798 Module Handbook as of 30/09/2021 7 COURSES Course: Vehicle Comfort and Acoustics I [T-MACH-105154]

T 7.448 Course: Vehicle Comfort and Acoustics I [T-MACH-105154]

Responsible: Prof. Dr. Frank Gauterin Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101264 - Handling Characteristics of Motor Vehicles

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each winter term 1

Events

ST 2021 2114856 Vehicle Ride Comfort & 2 SWS Lecture / 🖥 Gauterin Acoustics I

WT 21/22 2113806 Vehicle Comfort and Acoustics 2 SWS Lecture / 🗣 Gauterin I Exams ST 2021 76-T-MACH-105154 Vehicle Comfort and Acoustics I Gauterin ST 2021 76T-MACH-105154_1 Vehicle Comfort and Acoustics I Gauterin WT 21/22 76-T-MACH-105154 Vehicle Comfort and Acoustics I Gauterin

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Examination

Duration: 30 up to 40 minutes

Auxiliary means: none

Prerequisites Can not be combined with lecture T-MACH-102206

Below you will find excerpts from events related to this course:

Vehicle Ride Comfort & Acoustics I V Lecture (V) 2114856, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content 1. Perception of noise and vibrations

3. Fundamentals of acoustics and vibrations

3. Tools and methods for measurement, computing, simulation and analysis of noise and vibrations

4. The relevance of tire and chasis for the acoustic and mechanical driving comfort: phenomena, influencing parameters, types of construction, optimization of components and systems, conflict of goals, methods of development

An excursion will give insights in the development practice of a car manufacturer or a system supplier. Learning Objectives: The students know what noises and vibrations mean, how they are generated, and how they are perceived by human beings. They have knowledge about the requirements given by users and the public. They know which components of the vehicle are participating in which way on noise and vibration phenomenon and how they could be improved. They are ready to apply different tools and methods to analyze relations and to judge them. They are able to develop the chasis regarding driving comfort and acoustic under consideration of goal conflicts.

Industrial Engineering and Management M.Sc. 799 Module Handbook as of 30/09/2021 7 COURSES Course: Vehicle Comfort and Acoustics I [T-MACH-105154]

Organizational issues Kann nicht mit der Veranstaltung [2113806] kombiniert werden. Can not be combined with lecture [2113806] Genaue Termine entnehmen Sie bitte der Institushomepage. Scheduled dates: see homepage of the institute.

Literature 1. Michael Möser, Technische Akustik, Springer, Berlin, 2005

2. Russel C. Hibbeler, Technische Mechanik 3, Dynamik, Pearson Studium, München, 2006

3. Manfred Mitschke, Dynamik der Kraftfahrzeuge, Band B: Schwingungen, Springer, Berlin, 1997

Das Skript wird zu jeder Vorlesung zur Verfügung gestellt

Vehicle Comfort and Acoustics I V Lecture (V) 2113806, WS 21/22, 2 SWS, Language: German, Open in study portal On-Site

Content 1. Perception of noise and vibrations 3. Fundamentals of acoustics and vibrations 3. Tools and methods for measurement, computing, simulation and analysis of noise and vibrations 4. The relevance of tire and chasis for the acoustic and mechanical driving comfort: phenomena, influencing parameters, types of construction, optimization of components and systems, conflict of goals, methods of development

An excursion will give insights in the development practice of a car manufacturer or a system supplier. Learning Objectives: The students know what noises and vibrations mean, how they are generated, and how they are perceived by human beings. They have knowledge about the requirements given by users and the public. They know which components of the vehicle are participating in which way on noise and vibration phenomenon and how they could be improved. They are ready to apply different tools and methods to analyze relations and to judge them. They are able to develop the chasis regarding driving comfort and acoustic under consideration of goal conflicts.

Organizational issues Kann nicht mit der Veranstaltung [2114856] kombiniert werden. Can not be combined with lecture [2114856]

Literature 1. Michael Möser, Technische Akustik, Springer, Berlin, 2005

2. Russel C. Hibbeler, Technische Mechanik 3, Dynamik, Pearson Studium, München, 2006

3. Manfred Mitschke, Dynamik der Kraftfahrzeuge, Band B: Schwingungen, Springer, Berlin, 1997

Das Skript wird zu jeder Vorlesung zur Verfügung gestellt

Industrial Engineering and Management M.Sc. 800 Module Handbook as of 30/09/2021 7 COURSES Course: Vehicle Comfort and Acoustics II [T-MACH-105155]

T 7.449 Course: Vehicle Comfort and Acoustics II [T-MACH-105155]

Responsible: Prof. Dr. Frank Gauterin Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101264 - Handling Characteristics of Motor Vehicles

Type Credits Grading scale Recurrence Version Oral examination 3 Grade to a third Each summer term 1

Events

ST 2021 2114825 Vehicle Comfort and Acoustics II 2 SWS Lecture / 🖥 Gauterin ST 2021 2114857 Vehicle Ride Comfort & 2 SWS Lecture / 🖥 Gauterin Acoustics II Exams ST 2021 76-T-MACH-105155 Vehicle Comfort and Acoustics II Gauterin WT 21/22 76-T-MACH-105155 Vehicle Comfort and Acoustics II Gauterin

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral Examination

Duration: 30 up to 40 minutes

Auxiliary means: none

Prerequisites Can not be combined with lecture T-MACH-102205

Below you will find excerpts from events related to this course:

Vehicle Comfort and Acoustics II V Lecture (V) 2114825, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 801 Module Handbook as of 30/09/2021 7 COURSES Course: Vehicle Comfort and Acoustics II [T-MACH-105155]

Content 1. Summary of the fundamentals of acoustics and vibrations

2. The relevance of road surface, wheel imperfections, springs, dampers, brakes, bearings and bushings, suspensions, engines and drive train for the acoustic and mechanical driving comfort: - phenomena - influencing parameters - types of construction - optimization of components and systems - conflicts of goals - methods of development 3. Noise emission of motor vehicles - noise stress - sound sources and influencing parameters - legal restraints - optimization of components and systems - conflict of goals - methods of development Learning Objectives: The students have knowledge about the noise and vibration properties of the chassis components and the drive train. They know what kind of noise and vibration phenomena do exist, what are the generation mechanisms behind, which components of the vehicle participate in which way and how could they be improved. They have knowledge in the subject area of noise emission of automobiles: Noise impact, legal requirements, sources and influencing parameters, component and system optimization, target conflicts and development methods. They are ready to analyze, to judge and to optimize the vehicle with its single components regarding acoustic and vibration phenomena. They are also able to contribute competently to the development of a vehicle regarding the noise emission.

Organizational issues Kann nicht mit der Veranstaltung [2114857] kombiniert werden. Can not be combined with lecture [2114857]

Literature Das Skript wird zu jeder Vorlesung zur Verfügung gestellt.

Vehicle Ride Comfort & Acoustics II V Lecture (V) 2114857, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content 1. Summary of the fundamentals of acoustics and vibrations

2. The relevance of road surface, wheel imperfections, springs, dampers, brakes, bearings and bushings, suspensions, engines and drive train for the acoustic and mechanical driving comfort: - phenomena - influencing parameters - types of construction - optimization of components and systems - conflicts of goals - methods of development

3. Noise emission of motor vehicles - noise stress - sound sources and influencing parameters - legal restraints - optimization of components and systems - conflict of goals - methods of development Learning Objectives: The students have knowledge about the noise and vibration properties of the chassis components and the drive train. They know what kind of noise and vibration phenomena do exist, what are the generation mechanisms behind, which components of the vehicle participate in which way and how could they be improved. They have knowledge in the subject area of noise emission of automobiles: Noise impact, legal requirements, sources and influencing parameters, component and system optimization, target conflicts and development methods. They are ready to analyze, to judge and to optimize the vehicle with its single components regarding acoustic and vibration phenomena. They are also able to contribute competently to the development of a vehicle regarding the noise emission.

Industrial Engineering and Management M.Sc. 802 Module Handbook as of 30/09/2021 7 COURSES Course: Vehicle Comfort and Acoustics II [T-MACH-105155]

Organizational issues Genaue Termine entnehmen Sie bitte der Institushomepage. Kann nicht mit der Veranstaltung [2114825] kombiniert werden. Scheduled dates: see homepage of the institute. Can not be combined with lecture [2114825].

Literature Das Skript wird zu jeder Vorlesung zur Verfügung gestellt. The script will be supplied in the lectures.

Industrial Engineering and Management M.Sc. 803 Module Handbook as of 30/09/2021 7 COURSES Course: Vehicle Mechatronics I [T-MACH-105156]

T 7.450 Course: Vehicle Mechatronics I [T-MACH-105156]

Responsible: Prof. Dr.-Ing. Dieter Ammon Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101264 - Handling Characteristics of Motor Vehicles M-MACH-101265 - Vehicle Development

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third see Annotations 1

Competence Certificate Examinations are no longer offered.

Prerequisites none

Annotation The lecture was cancelled for WT 19/20.

Industrial Engineering and Management M.Sc. 804 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Engineering I [T-MACH-102123]

T 7.451 Course: Virtual Engineering I [T-MACH-102123]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each winter term 2

Events WT 21/22 2121352 Virtual Engineering I 2 SWS Lecture / 🧩 Ovtcharova WT 21/22 2121353 Exercises Virtual Engineering I 2 SWS Practice / 🧩 Ovtcharova, Mitarbeiter Exams ST 2021 76-T-MACH-102123 Virtual Engineering I Ovtcharova WT 21/22 76-T-MACH-102123 Virtual Engineering I Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Writen examination 90 min.

Prerequisites None

Below you will find excerpts from events related to this course:

Virtual Engineering I V Lecture (V) 2121352, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Content The course includes:

• Conception of the product (system approaches, requirements, definitions, structure) • Generation of domain-specific product data (CAD, ECAD, software, ...) and AI methods • Validation of product properties and production processes through simulation • Digital twin for optimization of products and processes using AI methods

After successful attendance of the course, students can:

• conceptualize complex systems with the methods of virtual engineering and continue the product development in different domains • model the digital product with regard to planning, design, manufacturing, assembly and maintenance. • use validation systems to validate product and production in an exemplary manner. • Describe AI methods along the product creation process.

Literature Vorlesungsfolien / Lecture slides

Exercises Virtual Engineering I V Practice (Ü) 2121353, WS 21/22, 2 SWS, Language: English, Open in study portal Blended (On-Site/Online)

Content The theoretical Konzepts and contents of the lecture will be trained within practical relevance by basic functionalities of VE System solutions.

Industrial Engineering and Management M.Sc. 805 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Engineering I [T-MACH-102123]

Organizational issues Practice dates will probably be offered on different afternoons (14:00 - 17:15) in two-week intervals at the IMI in Kriegsstrasse 77 / Übungstermine werden voraussichtlich an unterschiedlichen Nachmittagen (14:00 - 17:15) in zweiwöchigem Rhythmus am IMI in der Kriegsstrasse 77 angeboten.

Literature Exercise script / Übungsskript

Industrial Engineering and Management M.Sc. 806 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Engineering II [T-MACH-102124]

T 7.452 Course: Virtual Engineering II [T-MACH-102124]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B

Type Credits Grading scale Recurrence Version Written examination 4 Grade to a third Each summer term 2

Events ST 2021 2122378 Virtual Engineering II 2/1 SWS Lecture / Practice ( / Ovtcharova, 🖥 Mitarbeiter Exams ST 2021 76-T-MACH-102124 Virtual Engineering II Ovtcharova WT 21/22 76-T-MACH-102124 Virtual Engineering II Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Writen examination 90 min.

Prerequisites None

Below you will find excerpts from events related to this course:

Virtual Engineering II V Lecture / Practice (VÜ) 2122378, SS 2021, 2/1 SWS, Language: English, Open in study portal Online

Content The course includes:

• Fundamentals (Computer Graphics, VR, AR, MR) • Hardware and Software Solutions • Virtual Twin, Validation and application

After successful attendance of the course, students can:

• describe Virtual Reality concepts, as well as explaining and comparing the underlying technologies • discuss the modeling and computer-internal picture of a VR scene and explain the operation of the pipeline to visualize the scene • designate different systems to interact with a VR scene and assess the pros and cons of manipulation and tracking devices • differentiate between static, dynamic and functional Virtual Twins • describe applications and validation studies with Virtual Twins in the area of building and production

Organizational issues Zusätzliche Übungszeiten (1 SWS) werden zu Vorlesungsbegin bekannt gegeben / Additional practice times (1 SWS) will be announced at the beginning of the lecture.

Literature Vorlesungsfolien / Lecture slides

Industrial Engineering and Management M.Sc. 807 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Engineering Lab [T-MACH-106740]

T 7.453 Course: Virtual Engineering Lab [T-MACH-106740]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 1

Events ST 2021 2123350 Virtual Engineering Lab 3 SWS Project (P / 🧩 Ovtcharova WT 21/22 2123350 Virtual Engineering Lab 3 SWS Project (P / 🧩 Ovtcharova, Mitarbeiter Exams ST 2021 76-T-MACH-106740 Virtual Engineering Lab Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Assessment of another type (graded), procedure see webpage.

Below you will find excerpts from events related to this course:

Virtual Engineering Lab V Project (PRO) 2123350, SS 2021, 3 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content

• Introduction in Virtual Reality (hardware, software, applications) • Exercises in the task specific software systems • Autonomous project work in the area of Virtual Reality in small groups

Organizational issues Siehe Homepage zur Lehrveranstaltung

Literature Keine / None

Virtual Engineering Lab V Project (PRO) 2123350, WS 21/22, 3 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content

• Introduction in Virtual Reality (hardware, software, applications) • Exercises in the task specific software systems • Autonomous project work in the area of Virtual Reality in small groups

Organizational issues Siehe Homepage zur Lehrveranstaltung

Literature Keine / None

Industrial Engineering and Management M.Sc. 808 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Solution Methods and Processes [T-MACH-111285]

T 7.454 Course: Virtual Solution Methods and Processes [T-MACH-111285]

Responsible: Dipl.-Ing. Thomas Maier Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Expansion Version Examination of another type 4 Grade to a third Each term 1 terms 1

Events ST 2021 2121003 Virtual Solution Methods and 4 SWS Project (P / 🧩 Maier Processes WT 21/22 2121003 Virtual Solution Methods and 4 SWS Project (P / 🧩 Maier Processes

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Graded examination performance of another type weighted according to: 30% project documentation, 30% colloquium and 40% successfully completed project task.

Prerequisites None

Recommendation None

Below you will find excerpts from events related to this course:

Virtual Solution Methods and Processes V Project (PRO) 2121003, SS 2021, 4 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Content Requirements, SysML, Modelica, high performance computing, process modeling, Virtual Twin Students can:

• Collect requirements for large technical systems (e.b.: Helmholtz large-scale device KATRIN). • Describe physical systems across domains with the modeling language Modelica and simulate the systems behavior. • Generate complex FE meshes for simulations of structural mechanics, electrodynamics or fluid mechanics. • Perform advanced simulations on mainframe computers and prepare and explain results in a self-explanatory manner. • Individually design a small project and carry it out independently.

Organizational issues Siehe ILIAS und Homepage zur Lehrveranstaltung

Virtual Solution Methods and Processes V Project (PRO) 2121003, WS 21/22, 4 SWS, Language: German/English, Open in study portal Blended (On-Site/Online)

Industrial Engineering and Management M.Sc. 809 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Solution Methods and Processes [T-MACH-111285]

Content Requirements, SysML, Modelica, high performance computing, process modeling, Virtual Twin Students can:

• Collect requirements for large technical systems (e.b.: Helmholtz large-scale device KATRIN). • Describe physical systems across domains with the modeling language Modelica and simulate the systems behavior. • Generate complex FE meshes for simulations of structural mechanics, electrodynamics or fluid mechanics. • Perform advanced simulations on mainframe computers and prepare and explain results in a self-explanatory manner. • Individually design a small project and carry it out independently.

Organizational issues Siehe ILIAS und Homepage zur Lehrveranstaltung

Industrial Engineering and Management M.Sc. 810 Module Handbook as of 30/09/2021 7 COURSES Course: Virtual Training Factory 4.X [T-MACH-106741]

T 7.455 Course: Virtual Training Factory 4.X [T-MACH-106741]

Responsible: Prof. Dr.-Ing. Jivka Ovtcharova Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101281 - Virtual Engineering B M-MACH-101283 - Virtual Engineering A

Type Credits Grading scale Recurrence Version Examination of another type 4 Grade to a third Each term 1

Events ST 2021 2123351 Virtual training factory 4.X 3 SWS Project (P / 🧩 Ovtcharova

WT 21/22 2123351 Virtual training factory 4.X / 🗣 Ovtcharova, Mitarbeiter Exams ST 2021 76-T-MACH-106741 Virtual training factory 4.X Ovtcharova

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Assessment of another type (graded), procedure see webpage.

Below you will find excerpts from events related to this course:

Virtual training factory 4.X V Project (PRO) 2123351, SS 2021, 3 SWS, Language: German, Open in study portal Blended (On-Site/Online)

Content In interdisciplinary teams, the creation of a product is implemented in the style of a start-up. The event is carried out across universities in cooperation with the HsKA.

Organizational issues Siehe ILIAS

Literature Keine / None

Virtual training factory 4.X V 2123351, WS 21/22, SWS, Language: German, Open in study portal On-Site

Content In interdisciplinary teams, the creation of a product is implemented in the style of a start-up. The event is carried out across universities in cooperation with the HsKA.

Organizational issues Siehe ILIAS zur Lehrveranstaltung

Literature Keine / None

Industrial Engineering and Management M.Sc. 811 Module Handbook as of 30/09/2021 7 COURSES Course: Warehousing and Distribution Systems [T-MACH-105174]

T 7.456 Course: Warehousing and Distribution Systems [T-MACH-105174]

Responsible: Prof. Dr.-Ing. Kai Furmans Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101278 - Material Flow in Networked Logistic Systems M-MACH-104888 - Advanced Module Logistics

Type Credits Grading scale Recurrence Version Written examination 3 Grade to a third Each summer term 2

Events

ST 2021 2118097 Warehousing and distribution 2 SWS Lecture / 🖥 Furmans systems Exams ST 2021 76-T-MACH-105174 Warehousing and Distribution Systems Furmans

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate The success control takes place in form of a written examination (60 min) during the semester break (according to §4(2), 1 SPO). If the number of participants is low, an oral examination (according to §4 (2), 2 SPO) may also be offered.

Prerequisites none

Below you will find excerpts from events related to this course:

Warehousing and distribution systems V Lecture (V) 2118097, SS 2021, 2 SWS, Language: German, Open in study portal Online

Literature ARNOLD, Dieter, FURMANS, Kai (2005) Materialfluss in Logistiksystemen, 5. Auflage, Berlin: Springer-Verlag ARNOLD, Dieter (Hrsg.) et al. (2008) Handbuch Logistik, 3. Auflage, Berlin: Springer-Verlag BARTHOLDI III, John J., HACKMAN, Steven T. (2008) Warehouse Science GUDEHUS, Timm (2005) Logistik, 3. Auflage, Berlin: Springer-Verlag FRAZELLE, Edward (2002) World-class warehousing and material handling, McGraw-Hill MARTIN, Heinrich (1999) Praxiswissen Materialflußplanung: Transport, Hanshaben, Lagern, Kommissionieren, Braunschweig, Wiesbaden: Vieweg WISSER, Jens (2009) Der Prozess Lagern und Kommissionieren im Rahmen des Distribution Center Reference Model (DCRM); Karlsruhe : Universitätsverlag Eine ausführliche Übersicht wissenschaftlicher Paper findet sich bei: ROODBERGEN, Kees Jan (2007) Warehouse Literature

Industrial Engineering and Management M.Sc. 812 Module Handbook as of 30/09/2021 7 COURSES Course: Wastewater Treatment Technologies for Industrial Engineers [T-BGU-111299]

T 7.457 Course: Wastewater Treatment Technologies for Industrial Engineers [T- BGU-111299]

Responsible: PD Dr.-Ing. Stephan Fuchs Organisation: KIT Department of Civil Engineering, Geo- and Environmental Sciences Part of: M-BGU-104448 - Urban Water Technologies

Type Credits Grading scale Recurrence Expansion Version Examination of another type 3 Grade to a third Each summer term 1 terms 1

Events ST 2021 6223801 Wastewater Treatment 4 SWS Lecture / Practice ( / Fuchs, Hiller Technologies 🖥 Exams ST 2021 8240111299 Wastewater Treatment Technologies for Industrial Engineers Fuchs

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate presentation, appr. 15 min., term paper, appr. 10 pages

Prerequisites none

Recommendation none

Annotation none

Industrial Engineering and Management M.Sc. 813 Module Handbook as of 30/09/2021 7 COURSES Course: Water Chemistry and Water Technology I [T-CIWVT-101900]

T 7.458 Course: Water Chemistry and Water Technology I [T-CIWVT-101900]

Responsible: Prof. Dr. Harald Horn Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101121 - Water Chemistry and Water Technology I

Type Credits Grading scale Recurrence Version Oral examination 6 Grade to a third Each winter term 1

Events WT 21/22 22621 Water Technology 2 SWS Lecture Horn WT 21/22 22622 Excersises to Water Technology 1 SWS Practice Horn, und Mitarbeiter WT 21/22 22664 Practical Course: Water Quality and 2 SWS Practical course Horn, Abbt-Braun, und Water Assessment Mitarbeiter Exams ST 2021 7232001 Water Chemistry and Water Technology I Horn, Abbt-Braun

Prerequisites T-CIWVT-103351 - Wasserchemisches Praktikum must be passed.

Industrial Engineering and Management M.Sc. 814 Module Handbook as of 30/09/2021 7 COURSES Course: Water Quality Assessment [T-CIWVT-108841]

T 7.459 Course: Water Quality Assessment [T-CIWVT-108841]

Responsible: Dr. Gudrun Abbt-Braun Organisation: KIT Department of Chemical and Process Engineering Part of: M-CIWVT-101122 - Water Chemistry and Water Technology II

Type Credits Grading scale Recurrence Version Oral examination 6 Grade to a third Each winter term 1

Events WT 21/22 22603 Scientific Principles for Water 2 SWS Lecture Abbt-Braun Quality Assessment WT 21/22 22604 Excercises and Demonstration for 1 SWS Practice Abbt-Braun, Horn, und 22603 Scientific Principles for Mitarbeiter Water Quality Assessment Exams ST 2021 7232603 Water Quality Assessment Abbt-Braun WT 21/22 7232603 Water Quality Assessment Abbt-Braun

Competence Certificate The examination is an oral examination with a duration of about 30 minutes (section 4 subsection 2 number 2 SPO).

Prerequisites None

Industrial Engineering and Management M.Sc. 815 Module Handbook as of 30/09/2021 7 COURSES Course: Web App Programming for Finance [T-WIWI-110933]

T 7.460 Course: Web App Programming for Finance [T-WIWI-110933]

Responsible: Jun.-Prof. Dr. Julian Thimme Organisation: KIT Department of Economics and Management Part of: M-WIWI-101480 - Finance 3 M-WIWI-101483 - Finance 2

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third Once 1

Competence Certificate Non exam assessment according to § 4 paragraph 3 of the examination regulation. (Anmerkung: gilt nur für SPO 2015). The grade is made up as follows: 50% result of the project (R-code), 50% presentation of the project.

Prerequisites None

Recommendation The content of the bachelor course Investments is assumed to be known and necessary to follow the course.

Industrial Engineering and Management M.Sc. 816 Module Handbook as of 30/09/2021 7 COURSES Course: Web Science [T-WIWI-103112]

T 7.461 Course: Web Science [T-WIWI-103112]

Responsible: Michael Färber Organisation: KIT Department of Economics and Management Part of: M-WIWI-101472 - Informatics M-WIWI-101628 - Emphasis in Informatics M-WIWI-101630 - Electives in Informatics

Type Credits Grading scale Recurrence Version Written examination 4,5 Grade to a third see Annotations 2

Exams ST 2021 7900032 Web Science (Registration until 12 July 2021) Färber WT 21/22 7900031 Web Science Sure-Vetter

Competence Certificate The exam will be offered for the last time for first-time takers in the summer semester 2021. The last opportunity to take the exam (for repeaters only) is in the winter semester 2021/22. The assessment of this course is a written examination (60 min) according to §4(2), 1 of the examination regulation or an oral exam (20 min) following §4, Abs. 2, 2 of the examination regulation. The exam takes place every semester and can be repeated at every regular examination date.

Prerequisites None

Annotation The lecture is no longer offered.

Industrial Engineering and Management M.Sc. 817 Module Handbook as of 30/09/2021 7 COURSES Course: Welding Technology [T-MACH-105170]

T 7.462 Course: Welding Technology [T-MACH-105170]

Responsible: Dr. Majid Farajian Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101268 - Specific Topics in Materials Science

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each winter term 1

Events

WT 21/22 2173571 Welding Technology 2 SWS Block / 🖥 Farajian Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate Oral exam, about 20 minutes

Prerequisites none

Recommendation Basics of material science (iron- and non-iron alloys), materials, processes and production, design. All the relevant books of the German Welding Institute (DVS: Deutscher Verband für Schweißen und verwandte Verfahren) in the field of welding and joining is recommended.

Below you will find excerpts from events related to this course:

Welding Technology V Block (B) 2173571, WS 21/22, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 818 Module Handbook as of 30/09/2021 7 COURSES Course: Welding Technology [T-MACH-105170]

Content definition, application and differentiation: welding, welding processes, alternative connecting technologies. history of welding technology sources of energy for welding processes Survey: Fusion welding, pressure welding. weld seam preparation/design welding positions weldability gas welding, thermal cutting, manual metal-arc welding submerged arc welding gas-shielded metal-arc welding, friction stir welding, laser beam and electron beam welding, other fusion and pressure welding processes static and cyclic behavior of welded joints, fatigue life improvement techniques learning objectives: The students have knowledge and understanding of the most important welding processes and its industrial application. They are able to recognize, understand and handle problems occurring during the application of different welding processes relating to design, material and production. They know the classification and the importance of welding technology within the scope of connecting processes (advantages/ disadvantages, alternatives). The students will understand the influence of weld quality on the performance and behavior of welded joints under static and cyclic load. How the fatigue life of welded joints could be increased, will be part of the course. requirements: basics of material science ( iron- and non-iron alloys), of electrical engineering, of production processes. workload: The workload for the lecture Welding Technology is 120 h per semester and consists of the presence during the lecture (18 h) as well as preparation and rework time at home (102 h). exam: oral, ca. 20 minutes, no auxiliary material

Organizational issues Blockveranstaltung im Januar und Februar. Zur Teilnahme an der Vorlesung ist eine Anmeldung beim Dozenten per E-Mail an [email protected] erforderlich. Vorlesungstermine und Hörsaal werden den angemeldeten Teilnehmern Anfang des Jahres mitgeteilt.

Literature Für ergänzende, vertiefende Studien gibt das Handbuch der Schweißtechnik von J. Ruge, Springer Verlag Berlin, mit seinen vier Bänden Band I: Werkstoffe Band II: Verfahren und Fertigung Band III: Konstruktive Gestaltung der Bauteile Band IV: Berechnung der Verbindungen einen umfassenden Überblick. Der Stoff der Vorlesung Schweißtechnik findet sich in den Bänden I und II. Einen kompakten Einblick in die Lichtbogenschweißverfahren bietet das Bändchen Nies: Lichtbogenschweißtechnik, Bibliothek der Technik Band 57, Verlag moderne Industrie AG und Co., Landsberg / Lech Im Übrigen sei auf die zahlreichen Fachbücher des DVS Verlages, Düsseldorf, zu allen Einzelgebieten der Fügetechnik verwiesen.

Industrial Engineering and Management M.Sc. 819 Module Handbook as of 30/09/2021 7 COURSES Course: Wildcard Seminar Module Master [T-WIWI-110215]

T 7.463 Course: Wildcard Seminar Module Master [T-WIWI-110215]

Organisation: University Part of: M-WIWI-101808 - Seminar Module

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third see Annotations 1

Industrial Engineering and Management M.Sc. 820 Module Handbook as of 30/09/2021 7 COURSES Course: Workshop Business Wargaming – Analyzing Strategic Interactions [T-WIWI-106189]

T 7.464 Course: Workshop Business Wargaming – Analyzing Strategic Interactions [T- WIWI-106189]

Responsible: Prof. Dr. Hagen Lindstädt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103119 - Advanced Topics in Strategy and Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Events

ST 2021 2577922 Workshop Business Wargaming - 2 SWS Seminar / 🖥 Lindstädt Analyse strategischer Interaktionen (Master) Exams ST 2021 7900071 Workshop Business Wargaming – Analyzing Strategic Interactions Lindstädt

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate In this course, real conflict situations are simulated and analyzed using various methods from business wargaming. Details on the design of the performance review will be announced during the lecture.

Prerequisites None

Recommendation Basic knowledge as conveyed in the bachelor module „Strategy and Organization“ is recommended.

Annotation This course is admission restricted. If you were already admitted to another course in the module “Advanced Topics in Strategy and Management” the participation at this course will be guaranteed.

The course is planned to be held for the first time in the summer term 2018.

Below you will find excerpts from events related to this course:

Workshop Business Wargaming - Analyse strategischer Interaktionen (Master) V Seminar (S) 2577922, SS 2021, 2 SWS, Language: German, Open in study portal Online

Industrial Engineering and Management M.Sc. 821 Module Handbook as of 30/09/2021 7 COURSES Course: Workshop Business Wargaming – Analyzing Strategic Interactions [T-WIWI-106189]

Content In this lecture, current economic trends will be discussed from a perspective of competition analysis and corporate strategies. Using appropriate frameworks, the students will be able to analyze collectively selected case studies and derive business strategies. Learning Objectives: Students

• are able to analyze business strategies and derive recommendations for the management • learn to express their position through compelling reasoning in structured discussions

Recommendations: Basic knowledge as conveyed in the bachelor module "Strategy and Organization" is recommended. Workload: The total workload for this course is approximately 90 hours. Lecture: 15 hours Preparation of lecture: 75 hours Exam preparation: n/a Assessment: In this course, real conflict situations are simulated and analyzed using various methods from business wargaming. Details on the design of the success control will be announced during the lecture. Note: This course is admission restricted. If you werealready admitted to another course in the module “Advanced Topics in Strategy and Management” the participation at this course will be guaranteed. Further information on the application process can be found on the IBU website. The examinations are offered at least every second semester, so that the entire module can be completed in two semesters.

Organizational issues 4 Blöcke mittwochs nachmittags siehe Institutshomepage

Industrial Engineering and Management M.Sc. 822 Module Handbook as of 30/09/2021 7 COURSES Course: Workshop Current Topics in Strategy and Management [T-WIWI-106188]

T 7.465 Course: Workshop Current Topics in Strategy and Management [T- WIWI-106188]

Responsible: Prof. Dr. Hagen Lindstädt Organisation: KIT Department of Economics and Management Part of: M-WIWI-103119 - Advanced Topics in Strategy and Management

Type Credits Grading scale Recurrence Version Examination of another type 3 Grade to a third Irregular 1

Competence Certificate The evaluation of the performance takes place through the active participation in the discussion rounds; an appropriate preparation is expressed here and a clear understanding of the topic and framework becomes recognizable. Further details on the design of the performance review will be announced during the lecture.

Prerequisites None

Recommendation Basic knowledge as conveyed in the bachelor module „Strategy and Organization“ is recommended.

Annotation This course is admission restricted. If you were already admitted to another course in the module “Advanced Topics in Strategy and Management” the participation at this course will be guaranteed. The course is planned to be held for the first time in the winter term 2017/18.

Industrial Engineering and Management M.Sc. 823 Module Handbook as of 30/09/2021 7 COURSES Course: X-ray Optics [T-MACH-109122]

T 7.466 Course: X-ray Optics [T-MACH-109122]

Responsible: Dr. Arndt Last Organisation: KIT Department of Mechanical Engineering

Part of: M-MACH-101291 - Microfabrication M-MACH-101292 - Microoptics

Type Credits Grading scale Recurrence Version Oral examination 4 Grade to a third Each term 1

Events

ST 2021 2141007 X-ray optics 2 SWS Lecture / 🖥 Last WT 21/22 2141007 X-ray Optics 2 SWS Lecture / 🗣 Last Exams ST 2021 76-T-MACH-109122 X-ray Optics Last WT 21/22 76-T-MACH-109122 X-ray Optics Last

Legend: 🖥 Online, 🧩 Blended (On-Site/Online), 🗣 On-Site, 🗙 Cancelled

Competence Certificate oral exam (about 20 min)

Prerequisites none

Below you will find excerpts from events related to this course:

X-ray optics V Lecture (V) 2141007, SS 2021, 2 SWS, Language: English, Open in study portal Online

Content see Institute homepage If you are interested, please contact [email protected] by 24.4.2020 to make an appointment.

Organizational issues Interessenten melden sich bitte zur Terminabsprache bis zum 20.4.2020 bei [email protected]

X-ray Optics V Lecture (V) 2141007, WS 21/22, 2 SWS, Language: English, Open in study portal On-Site

Organizational issues Termin und Ort nach Absprache mit den Angemeldeten

Literature M. Born und E. Wolf Principles of Optics, 7th (expanded) edition Cambridge University Press, 2010 A. Erko, M. Idir, T. Krist und A. G. Michette Modern Developments in X-Ray and Neutron Optics Springer Series in Optical Sciences, Vol. 137 Springer-Verlag Berlin Heidelberg, 2008 D. Attwood Soft X-Rays and Extreme Ultraviolet Radiation: Principles and Applications Cambridge University Press, 1999

Industrial Engineering and Management M.Sc. 824 Module Handbook as of 30/09/2021